Abstract:
A method of processing bids over a network for an item to be sold, using a time based factor for an encountered level of demand, the method comprising, setting a first threshold level at which to offer the item at a first time, setting a second threshold level at which to offer the item at a second time subsequent to the first time, receiving one or more bids over the network, upon receipt of a bid, calculating a bid time as a function of the first threshold level, the second threshold level, the bid, the first time and the second time, and accepting bids received on the basis of the calculated bid time.

Description:
FIELD OF THE INVENTION 
     The present invention relates to a method of processing bids over a network and more particularly but not exclusively to a method of offering goods or services for sale over a network to remote users at non-fixed prices and incorporating a time value to assessment of the bid. 
     BACKGROUND OF THE INVENTION 
     The traditional real life auction in an auction room serves a single audience located together in a single place bidding for one or more items or articles. The auction occurs over a short time frame with a set of bids rising continuously until no-one is prepared to bid any further. 
     By contrast, auctions over the Internet enable remotely located people to participate together in a single auction. Because the Internet is a worldwide phenomenon it is not easy to get large numbers of interested parties to be on line at the same time. Rather, bids have to be gathered over a predefined time frame and then considered fairly. 
     Numerous patents deal with the question of managing such Internet auctions between remote bidders. Notably, U.S. Pat. No. 6,044,363, assigned to Hitachi Ltd, discloses an automatic auction method which reduces the need for bidders to remain at auction terminals throughout the duration of an auction and which makes possible auction transactions on an open network on which it is difficult to assure the on-line and real time properties. The method uses a plurality of auction ordering information units each containing a desired price, a maximum price the bidder is prepared to pay, and a number of times desired for purchase. The bids are received from bidder terminals via on-line circuits and a highest bid is determined. In the absence of bids, the price is lowered in stages until a successful bid is identified. If there is at least one successful bid but not all the items have been bid for, then further successful bids are sought by comparing a set price with the remaining available quantity and the highest remaining bid. Until the desired quantity is satisfied, the threshold for accepting bids is adjusted. 
     In the auction of this method, the bidder is asked to give a bid price and a highest acceptable price. Most bidders do not like to be asked for a highest acceptable price. Furthermore the use of such a highest acceptable price provides a mechanism for pushing up the price relatively rapidly. 
     The method does not provide a possibility of instant acceptance of a bid should this be required, or of a definite time by which a bidder can know for certain that his bid has been accepted or rejected, beyond the time defined as the end of an auction. 
     The method considers and accepts bids only at discrete intervals, thereby creating a dead time when no actual sales are possible. 
     SUMMARY OF THE INVENTION 
     Embodiments of the present invention may solve at least some of the above-mentioned drawbacks with the prior art. 
     Embodiments of the present invention take advantage of the time dimension in an auction, hitherto the problem in Internet auction management, to provide a more powerful form of auction. 
     Embodiments of the present invention allow a time value to be assigned to a product, and for a bid premium paid by a bidder to be seen clearly as a function of time. 
     Embodiments of the present invention preferably allow the bidder to obtain instant acceptance of his bid, or alternatively, confirmation at a time of his choosing that his bid has either been accepted or rejected. 
     Furthermore, embodiments of the present invention allow sales to occur at all times during the auction, thus ensuring that there is no commercially expensive dead time. 
     According to a first aspect of the present invention there is thus provided a method of processing bids over a network for an item to be sold, using a time based factor, the method comprising,
         setting a first threshold bid level at which to offer the item at a first time,   setting a second threshold bid level at which to offer the item at a second time subsequent to said first time,   receiving one or more bids over said network,
           upon receipt of a bid, calculating a bid time as a function of said first threshold bid level, said second threshold bid level, said bid, said first time and said second time, and   accepting bids received in the order of said calculated bid time.   
               

     In an embodiment, said first threshold bid level is higher than said second threshold bid level and a first bid to be accepted from a plurality of bids to be received is a bid having an earliest calculated bid time. 
     In a preferred embodiment, said first threshold bid level is higher than said second threshold bid level and comprising the step of accepting any bid from a plurality of received bids, which has an earliest calculated bid time in the past and then accepting received bids as a respective calculated bid time is reached. 
     In a particularly preferred embodiment, said calculated bid time is a linear function of the passage of time between said first time and said second time. 
     In another preferred embodiment, said calculated bid time is a linear function of the interval between said first threshold bid level and said second threshold bid level. 
     In another preferred embodiment, said calculated bid time is a linear function of the passage of time between said first time and said second time, and of the interval between said first threshold bid level and said second threshold bid level, such that any bid within said threshold bid levels is mappable onto a calculated bid time. 
     In a preferred embodiment, a final bid price is additionally a function of a total quantity of accepted bids. Preferably this involves a step of defining a plurality of quantity price threshold levels, and using said levels to contribute to a determination of said final bid price. 
     Preferably, there is also provided a further step of using data of existing bids to calculate a probability of acceptance of a new bid at a given price level. 
     According to a second aspect of the present invention there is provided a method of processing bids over a network for an item to be sold, using a cumulative quantity based factor, the method comprising,
         setting a first bid level at which to offer the item at an initial quantity,   setting at least a second bid level at which to offer the item at a second quantity greater than said first quantity,   receiving one or more bids over said network,
           upon receipt of a bid, calculating a cumulative quantity of items bid for and   offering said items at a the bid level corresponding to said cumulative quantity.   
               

     In an embodiment, there is provided the further step of using data of existing bids to calculate a probability of acceptance of a new bid at a given price level. 
     According to a third aspect of the present invention there is provided a tool for providing an on-line indication of the probability of acceptance of a bid at a given price level for a plurality of items offered over a predetermined time period using a predetermined bid acceptance algorithm,
         said tool comprising a data storage unit,   said data storage unit operable to store data of existing bids and corresponding price levels,   said tool further comprising a calculator for calculating a probability of acceptance of said bid at a given price level based on said existing bids, said corresponding price levels and said predetermined bid acceptance algorithm.       

     In an embodiment, said calculator is further operable to calculate a bid level having a 50% chance of being accepted. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       For a better understanding of the invention and to show how the same may be carried into effect, reference will now be made, purely by way of example, to the accompanying drawings, in which: 
         FIG. 1  is a generalized schematic diagram showing an auction host, a seller and a series of bidders connected via a network in a manner useful for holding an on-line auction in accordance with embodiments of the present invention, 
         FIG. 2  is a price/time graph showing how a series of bids may be accepted using a calculated bid time, in accordance with a first embodiment of the present invention, 
         FIG. 3  is a flow chart showing a procedure for holding an auction in accordance with the embodiment of  FIG. 2 , 
         FIG. 4  is a simplified representation of an on-line form for use by a seller to set up an auction, and 
         FIG. 5  is a simplified representation of an on-line form for use by a bidder to place a bid. 
     
    
    
     DESCRIPTION OF THE PREFERRED EMBODIMENTS 
     Reference is now made to  FIG. 1 , which is a generalized schematic diagram showing an auction host  10 , a seller  12  and a series of bidders  14 . 1  . . .  14 .n connected via a network  16  in a manner useful for holding an on-line auction in accordance with embodiments of the present invention. In accordance with embodiments to be described, it is not necessary that the parties are on line simultaneously throughout the duration of the auction. In particular the bidders  14 . 1  . . .  14 .n need to be connected only to place their bids. The seller  12  need be connected only to provide settings for the auction, and only the auction host  10  should preferably be on line throughout the duration of the auction. Furthermore the auction host  10  is preferably able to contact bidders  14 . 1  . . .  14 .n and seller  10  in the event of a successful bid. 
     Reference is now made to  FIG. 2  which is a price/time graph showing how a series of bids may be accepted in order of respective calculated bid times, in accordance with a first embodiment of the present invention. As will be described in greater detail below, a seller  12  sets start  20  and finish  22  times of the auction. The seller also sets two reserve prices, a starting reserve price  24  and a finishing reserve price  26 . The difference between the reserve price represents the willingness of the seller to compromise as time passes in order to find buyers. 
     An auction staring point  28  is now plotted as the intersection between the start time  20  and the starting reserve price  24 . An auction finishing point  30  is then plotted as the intersection between the finishing time  22  and the finishing reserve price  26 . A straight line  32  may then be drawn between the auction starting point  28  and the auction finishing point  30  to indicate a dynamically changing reserve price throughout the auction. As an alternative to a straight line, a curve may be used if preferred. 
     As bids are placed they may be plotted as points  34 . 1  . . .  34 .n on the graph. Each bid comprises a price, and a corresponding point where the bid price crosses the line  32  indicates a bid time  36 . 1  . . .  36 .n, namely a time at which that bid equals the dynamically changing reserve price. The bid succeeds as soon as the bid time is reached provided the item being auctioned is still for sale. Thus, high bids are rewarded with early acceptance and low bids are kept until later on when the higher bids have been fulfilled. Essentially, the bidder, by bidding at a given price, is setting a time for acceptance of his bid, bearing in mind the risk of the article(s) having been sold before that time. In the graph, bid  34 . 1  is accepted at time  36 . 1  and the remaining bids are accepted in order of bid times only if articles remain for sale. 
     It will be appreciated that a bid could be placed on the line  32  or to the right thereof. The result would be immediate acceptance, unless there are simultaneous higher bids. 
     Reference is now made of  FIG. 3 , which is a flow chart showing a procedure for holding an auction in accordance with the embodiment of  FIG. 2 . In  FIG. 3 , a seller  12  first sets an upper bid threshold, then a lower bid threshold, then he sets a quantity of items for sale. He then sets an auction start time and an auction end time and calculates a rate of change to give the slope of the graph  32  in  FIG. 2 . 
     The auction is then allowed to begin and bids are received. As each bid is received, a corresponding bid time is calculated. Optionally the customer may provide a determined time or accepted time and the network will calculate the Price(Dt) needed as per the above-mentioned equations. Optionally the bidder will than have the option to confirm his bid at that height. 
     When a bid time is reached, a corresponding bid is accepted until no further items remain for sale. The auction continues until the finishing time  22 . 
     Using the following definitions:
         Price (Start time)=Maximum price.   Price (Stop time)=Minimum price.   DeltaP=Maximum price−Minimum Price.   T=Stop time−Start time;   Dt=Determined time, wherein Dt=0 for the start time and Dt=T for the stop time.   At=Accepted time=Start time+Dt       

     We may define the following relationships:
 
Price( Dt )=Price(0)−( Dt/T )*DeltaP.             (Equation 1)
 
 Dt=T *(Price(0)−Price( Dt ))/DeltaP.  (Equation 2)

     The customer bids an amount
         X=Price(Dt) at any time &lt;At.       

     This defines Dt as per equation 2.           
 
 Dt=T *(Price(0)− X )/DeltaP.  (Equation 2 .a )

     The bid is accepted at time At if at time At no one has given a higher bid. 
     In a case of multiple quantities, the bid is accepted if at time=At the quantity requested in the higher bids, if any, is less than the quantity offered. 
     A procedure is preferably provided to determine what to do in case of two or more equal bids which exceed the available quantity. One possibility is to give priority to the customer whose bid was received earlier. 
     Alternative relationships that may be used include the following:
 
Price( Dt )=Price(0)−( Dt/T ) 2 DeltaP.             (Equation 3)
 
 Dt=T *Sqrt((Price(0)−Price( Dt )/DeltaP) or  (Equation 4)
 
Price ( Dt )=Price(0)−( Dt/T ) y DeltaP.           (Equation 5)
 
 Dt=T *((Price(0)−Price( Dt )/DeltaP)1 /y   (Equation 6)

     In (equation 5) &amp; (equation 6) the value of y is selectable. 
     For y=1, line  32  will be a straight line and the case of equations 1 and 2 is provided. 
     For y=2 equations 3 and equation 4 are achieved and line  32  is a polynomial curve of order  2 . 
     In the general case line  32  is a polynomial curve of order y. 
     Reference is now made to  FIG. 4  which is a simplified representation of an on-line form for use by a seller  12  to set up an auction. The form allows the seller to enter the various setup quantities, start time, finish time, initial price, and final price needed to manage the auction, as well as a brief description and optionally an illustration of the product on offer. The seller may also include details of quantity if he is offering multiple products. Finally the form obtains contact details of the seller  12 . 
     Reference is now made to  FIG. 5 , which is a simplified representation of an on-line form for use by a bidder  14  to place a bid in an auction run according to the embodiment of  FIG. 2 . The bidder  14  is asked to identify the auction he is interested in. Preferably this is done automatically because the bidder has obtained the form by clicking on a button labeled “bid” or “place a bid” from a page representing the auction. The bidder is able to specify a desired quantity if relevant and also to indicate whether he is interested in maintaining the bid if the quantity available is less than the quantity he has bid for. 
     Finally, the bidder  14  is asked to enter personal details. 
     EXAMPLE 
     An example of the use of the embodiment of  FIG. 2  is as follows: 
     Mr. Smith wants to rent his apartment from Jan. 1, 2001 till Jan. 1, 2002. 
     He uses the form of  FIG. 4  to place an auction for the rental price for this period according to the details shown in table 1: 
     
       
         
               
             
               
               
               
             
           
               
                 TABLE 1 
               
               
                   
               
               
                 Setup details for apartment rent auction 
               
               
                   
               
             
             
               
                   
               
             
          
           
               
                   
                 Start moment of the Nauction 
                 Nov. 2, 2000 (0:00 Hours) 
               
               
                   
                 Stop moment of the Nauction 
                 Dec. 31, 2000 (24:00 Hours) 
               
               
                   
                 Price (Start date) = Maximum 
                 $3600 
               
               
                   
                 Price 
               
               
                   
                 Price (Stop date) = Minimum 
                 $3000 
               
               
                   
                 Price 
               
               
                   
                   
               
             
          
         
       
     
     According to equation 1&amp; 2.
         DeltaP=$600   Dt=($3600−Price(Dt))/$10       

     A typical bid schedule is as shown in Table 2 
     
       
         
               
             
               
               
               
               
               
             
           
               
                 TABLE 2 
               
             
             
               
                   
               
               
                 Bids Received and Calculated Bid Time 
               
             
          
           
               
                   
                   
                   
                   
                 Accepted time 
               
               
                   
                   
                 Height 
                 Determined 
                 At = 
               
               
                   
                   
                 of bid = 
                 Time 
                 (Nov. 1, 2000 + 
               
               
                 Bidder 
                 Date of bid 
                 Price (Dt) 
                 (Dt) 
                 Dt) 
               
               
                   
               
               
                 Cohen 
                 Nov. 2, 2000 
                 $3000 
                 60 
                 Dec. 31, 2000 
               
               
                 Levy 
                 Nov. 3, 2000 
                 $3040 
                 56 
                 Dec. 27, 2000 
               
               
                 Bush 
                 Nov. 5, 2000 
                 $3150 
                 45 
                 Dec. 16, 2000 
               
               
                 Polak 
                 Nov. 10, 2000 
                 $3250 
                 35 
                 Dec. 6, 2000 
               
               
                 Gore 
                 Dec. 2, 2000 
                 $3270 
                 33 
                 Dec. 4, 2000 
               
               
                   
               
             
          
         
       
     
     In this case Mr. Gore&#39;s bid, placed at Dec. 2, 2000, is accepted when the calculated bid time of Dec. 4, 2000 is reached. Mr. Gore and the other bidders were preferably made aware of the calculated bid time corresponding to his bid. I.e. Mr. Levine&#39;s knew that in order to get the accepted time Dec. 4, 2000 he had to bid $3270. 
     As described above, the bidders are aware of previously made bids. An alternative embodiment hides previously made bids. 
     Should no bids have been accepted by the finish date then the seller may reset the options and start again or not as he prefers. 
     Advantages of the invention include the following:
         As long as there is one bid which exceeds the final reserve price there will be a successful outcome to the auction,   A higher bid obtains earlier acceptance,   The bidder effectively decides the timing of the acceptance of his bid,   The seller will get a reasonable price as long as there is demand,   Excess demand is translated into a time premium, thus making the bidding fair to all sides,   Buyers and seller are not required to be on line for the duration of the auction, thus making the method suitable for auctions of large quantities of goods over a long period of time.       

     Typical applications may include
         Real estate (Rentals, second hand)   Occasions (vehicles, plains, boats, etc)   Fine art   Advertisement space, and   Large scale auctions of commodities and the like.       

     According to a further embodiment of the present invention there is provided a platform for bidding for products or services over a network. The embodiment leaves suppliers to determine the prices of the articles at certain predefined quantity breaks, while it accumulates quantities purchase by individual customers for the benefit of all the other customers. It thus enables customers to benefit from an accumulated quantity discount, enables both sides of benefit from a bidding process and enables both sides to benefit from personal quantity discounts. 
     A supplier, wishing to sell his products or services, enters the platform independently, and fills in a form defining prices with quantity breaks and giving product descriptions and other necessary information according to the standard terms of the platform. His offer thus goes on-line without requiring manual intervention on the part of the platform provider. 
     As above, the platform provider may take a one-time fee or may be paid on a commission basis, or advertisement basis or any other form of income or for free, as is deemed appropriate by the platform provider. 
     The embodiment allows small and large quantity customers to bid on a single platform. 
     The present embodiment may be combined with the bid forecast facility described below to provide a potential customer with a probability assessment of acceptance of a bid at a given price level prior to his making the bid, i.e. one figure that directly represent the information that he will need prior to his decision. 
     An optical field on a form presented to the customer to make the bid allows the customer to enter a date and/or time for the bid to cease to be valid. 
     Algorithm 
     The embodiment works as follows: 
     The supplier specifies to the platform the price of an article as a function of the quantity purchased, a close date when the bids to the offer will be resumed, and other product information, e.g. 
     
       
         
               
               
               
               
             
               
               
               
               
             
               
             
           
               
                   
               
               
                   
                 Minimum qty 
                 Max. Quantity 
                   
               
               
                   
                 for this price 
                 for this price 
               
               
                 Group 
                 MinQ(group) 
                 MaxQ(Group) 
                 Price(Group) 
               
               
                   
               
             
             
               
                   
               
             
          
           
               
                 1 
                 1 
                 9 
                 $1000 
               
               
                 2 
                 10 
                 23 
                 $925 
               
               
                 3 
                 25 
                 N 
                 $900 
               
             
          
           
               
                 HG = 3 
               
               
                   
               
             
          
         
       
     
     Close data Dec. 31, 2000 
     Optionally, in addition to quantity differential pricing the supplier can offer a personal discount, say $50 for any individual ordering 5 pcs or more of this article. 
     2           
     The platform offers the article at all the group prices simultaneously, e.g. 
     
       
         
               
               
               
               
               
             
               
               
               
               
               
             
           
               
                   
                   
               
               
                   
                 Unit 
                   
                 5 Unit 
                 Probability with 
               
               
                   
                 Price 
                 Probability 
                 quantity discount 
                 quantity discount 
               
               
                   
                   
               
             
             
               
                   
               
             
          
           
               
                   
                 $1000 
                 100% 
                 $950 ($50 
                 100% 
               
               
                   
                   
                   
                 PER ITEM?) 
               
               
                   
                 $925 
                 80% 
                 $875 ($50 
                 95% 
               
               
                   
                   
                   
                 PER ITEM?) 
               
               
                   
                 $900 
                 50% 
                 $850 ($50 
                 60% 
               
               
                   
                   
                   
                 PER ITEM?) 
               
               
                   
                   
               
             
          
         
       
     
     3           
     Each customer may bid for the article at any of those prices, i.e. in this example $1000, $925 or $900 for a single unit customer and $950, $875 and $850 for a 5 unit customer. Of course, the probability that the lower prices will be reached is the probability that the relevant quantity break will be triggered by the customers as a whole. Thus the lower a customer bids the smaller the probability that his bid will be accepted. 
     4           
     At the specified close of bidding all bids are summarized, e.g. 
     
       
         
               
               
               
             
               
               
               
             
           
               
                   
                   
               
               
                   
                   
                 Bid (Group) 
               
               
                   
                 Group 
                 (QUANTITY?) 
               
               
                   
                   
               
             
             
               
                   
               
             
          
           
               
                   
                 1 ($1000) 
                 5 
               
               
                   
                 2 ($925)  
                 10 
               
               
                   
                 3 ($900)  
                 5 
               
               
                   
                   
               
             
          
         
       
     
     In the table, price level  1  is triggered because there is at least one bid. Price level  2  is also triggered because there are more than 10 bids. Price level  3  is not triggered because there are not the 25 bids required. Thus the entire lot is sold at price level  2 , namely at $925, to all of the customers who bid $925 or more, (15 sales). 
     One could resume the actual applied price and winning bids with the following program routine:
         BQ is the accumulated quantity of pieces bid for during the offer. (20 in this case)   RBQ (remaining bid quantity)=BQ.   RHG (remaining highest group)=HG.   QB (quantity bought)=0.   POD (Price of deal)=Price(1).       

     While (RBQ&gt;0) do
         {
           If (RBQ&gt;=MinQ (RHG))
               {QB=RBQ;   POD=Price(RHG)}   
               
           Else
           {RBQ=RBQ−BID(HG);   HG=HG−1;}   
           }       

     This routine can be written in most programming languages. 
     As mentioned above, in this example 15 units will be brought at a price level of $925. The remaining units are not successfully bid for since not enough units were successfully bid for to trigger the relevant discount. Thus the supplier sells 15 units at the multiple discount price for that number of units, and the purchasers benefit from the purchases made by other bidders. 
     When the bid price is combined with the five units personal quantity discount of $50 mentioned above, the successful bidder obtains his units at $875 each. 
     In the above embodiment, the personal quantity discount allows recognition of different types of customers such as trade customers, so that retail and wholesale customers can be serviced from a single platform. 
     Generally, if the customers receive an overall discount provided they reach a certain quantity between them as described in the previous embodiment, the large quantity customers have no special incentive to purchase and the previous embodiment without a special quantity discount is most useful in circumstances in which the quantity purchased is similar for most customers. The quantity discount is particularly useful when there are marked differences in quantities purchases between different customers or different types of customers. 
     The same form of personal quantity discount can be applied to a bidding process as in the previous embodiment. 
     Algorithm: 
     Customers with large quantity orders may receive a personal quantity discount. This personal discount should come in addition to the group quantity discount applied discussed above. 
     For example 
     A single customer that purchases 10 pieces will receive a personal discount of $50, 100 pieces $75 and 1 k pieces $100. I.e. 
     
       
         
               
               
               
             
               
               
               
             
           
               
                   
                   
               
               
                   
                 Quantity 
                 Discount 
               
               
                   
                   
               
             
             
               
                   
               
             
          
           
               
                   
                 10 
                 $50 
               
               
                   
                 100 
                 $75 
               
               
                   
                 1000 
                 $100 
               
               
                   
                   
               
             
          
         
       
     
     This will reduce the actual price as follows: 
     The qty Isaac orders Standard price for qty 1 orders Discounted price for Isaac 
     
       
         
               
               
               
             
           
               
                   
               
             
             
               
                 1 
                 $1000 
                 $1000 
               
               
                   
                 $500 
                 $500 
               
               
                   
                 $200 
                 $200 
               
               
                 10 
                 $1000 
                 $950 
               
               
                   
                 $500 
                 $450 
               
               
                   
                 $250 
                 $200 
               
               
                 100 
                 $500 
                 $425 
               
               
                   
                 $250 
                 $175 
               
               
                 1000 
                 $500 
                 $400 
               
               
                   
                 $250 
                 $150 
               
               
                   
               
             
          
         
       
     
     One could provide personal discounts to specified groups, for example: authorized dealers (with service after and presales, active marketing, sample showing etc.) master dealer (selected authorized dealers), etc. 
     To protect commercial information one could protect these personal discounts with a password. 
     The Quantity discount feature allows one to address different categories of customers in a single offer. A retail customer may buy a Radio at $100 from X while a retail store buys 1000 radio&#39;s using the same offer from X but pays $75. 
     Currently, combined bidding for wholesale and retail markets is not known. Suppliers do not like to put their products in a regular auction because this will give the end-user the same pricing as the shop that needs to display the radio, has to deliver it and may be required to provide pre and after sales service etc. In the long run the shops won&#39;t sell X radios so the consumers cease to see them in the shops and won&#39;t even bid for them at the auction. 
     According to a further embodiment of the present invention there is provided a method for providing a potential bidder with a percentage probability of acceptance of his bid. In general, auctions are liked because the final price is linked to actual demand at the auction and a potential purchaser has the possibility of paying less than he would do otherwise. On the other hand he pays for this by the possibility that a low bid may not be accepted. It is very hard for the customer to decide on the height of the bid. He wants a reasonable chance to get the product at a reasonable price. However he has no information on demand. The present embodiment provides the purchaser with a statistical tool giving him a qualifiable figure as to the likelihood that a bid at a given price and for a given quantity will be accepted. 
     The statical tool may be combined with any of the embodiments given above. In the following it is shown in combination with the cumulative discount embodiment. 
     For the cumulative discount embodiment the supplier gives the following information: 
     
       
         
               
               
               
             
               
               
               
             
           
               
                   
                   
               
               
                   
                 Price per unit 
                 Qty 
               
               
                   
                   
               
             
             
               
                   
               
             
          
           
               
                   
                 $1000 
                 Min (Typically 1) 
               
               
                   
                 1 week 
               
               
                   
                 $900 
                 A &gt; Min 
               
               
                   
                 first 50% 1 week 
               
               
                   
                 other 50% 2 weeks 
               
               
                   
                 $700 
                 B &gt; A 
               
               
                   
                 $600 
                 C &gt; B 
               
               
                   
                 $500 
                 D &gt; C 
               
               
                   
                 10% week 
               
               
                   
                 30% mnth 
               
               
                   
                 30% 2mnth 
               
               
                   
                 30% 3mnth 
               
               
                   
                 $400 
                 Maximum absolute 
               
               
                   
                   
                 (no more available)/ 
               
               
                   
                   
                 relative(may be higher, 
               
               
                   
                   
                 but no price change) 
               
               
                   
                   
               
             
          
         
       
     
     The following information is also needed, some of which is given by the supplier and some of which is preferably available from the platform: 
     The quantity the supplier sells today (in units/year). 
     The global market at present (in units/year). This number should include the quantity the competitors sell. 
     The estimated global market if the price will be as in the Maximum quantity ($400 in the example). 
     The estimated global market over 1 year at the current price level. 
     The estimated global market over 1 year at the Maximum quantity price level. 
     The following formula produces a percentage figure for a bid at a given quantity break price being successful. 
     In words, if a quantity break has already been reached then a figure of 100% is given. If it has not been reached then the rate of received bids is extrapolated over the time remaining for the auction to forecast whether the quantity break specified by the bid will be reached. 
     Qty ordered assumes the person entering the site as if he bid at the product, as this is the hypothetical case of his interest. 
     The probability may be calculated in a number of ways. One possibility is as follows:
         The potential buyer will have to tell first how many pieces he wants to buy.   Cqty=Qty the potential purchaser consider to purchase;   Oqty=the quantity that has been purchased sofar;   Periodpast=Amount of time (hours) the offer has been open till now.
           (6 minutes=0.1 hour etc.)   
           Periodtotal=Amount of time of spender has been defined.   Periodfuture=Periodtotal−Periodpast;       

     
       
         
               
               
             
               
               
               
             
               
               
             
               
               
             
           
               
                   
                   
               
             
             
               
                   
                 If((Oqty +Cqty) &gt;= MinQ(Group) 
               
               
                   
                 Chance2deal(Group) = 100%; 
               
               
                   
                 Else 
               
               
                   
                 { 
               
             
          
           
               
                   
                 Pastspeed = 
                 (Oqty +Cqty/2) / Periodpast; 
               
               
                   
                 Needspeed = 
                 (MinQ(Group)−(Oqty+Cqty/2)) / Periodfuture. 
               
               
                   
                 Speedratio = 
                 Needspeed/Pastspeed; 
               
               
                   
                 If(Speedratio&gt; 1) 
               
             
          
           
               
                   
                 Chance2deal(Group) = 50%/Speedratio; 
               
               
                   
                 Else 
               
               
                   
                 Chance2deal(Group) = 100%−Speedratio*50%; 
               
             
          
           
               
                   
                 } 
               
               
                   
                   
               
             
          
         
       
     
     This Chance2deal(Group) can be calculated for all groups. 
     The customer will see on the site the article of his interest displayed something like this: 
     
       
         
               
               
               
             
               
               
               
             
           
               
                   
                   
               
               
                   
                 Unit Price 
                 Chance2deal 
               
               
                   
                   
               
             
             
               
                   
               
             
          
           
               
                   
                 $1000 
                 100% 
               
               
                   
                 $925 
                 80% 
               
               
                   
                 $900 
                 50% 
               
               
                   
                   
               
             
          
         
       
     
     A third order factor can also be added to provide a look-ahead and improve the model. 
     Thus a probability of a successful deal can be calculated for each quantity break price. 
     By adding further orders to the equation, more sophisticated probabilities can be produced. 
     The potential bidder may be given results as possible for a range of bids. 
     
       
         
               
               
               
             
               
               
               
             
           
               
                   
                   
               
               
                   
                 Price 
                 Chance2deal 
               
               
                   
                   
               
             
             
               
                   
               
             
          
           
               
                   
                 $1000 
                 Not relevant anymore 
               
               
                   
                 $900 
                 100% 
               
               
                   
                 $700 
                 80% 
               
               
                   
                 $600 
                 50% 
               
               
                   
                 $500 
                 20% 
               
               
                   
                 $400 
                 2% 
               
               
                   
                   
               
             
          
         
       
     
     Here Chance2deal(price=X)=The probability that a bid X will lead to a deal. 
     EXAMPLE  
     An example of the probability being calculated for the cumulative volume discount embodiment is as follows: 
     Given the following ordering history, for a product that was offered over the period 1-10 Apr. 
     Assume $925 price for 10 pieces or more. 
     Assume $900 price for 25 pieces or more. 
     
       
         
               
               
               
               
               
               
               
               
               
               
               
             
           
               
                   
               
               
                 Date in April 
                 1 
                 2 
                 3 
                 4 
                 5 
                 6 
                 7 
                 8 
                 9 
                 10 
               
               
                   
               
             
             
               
                 Qty ordered 
                 1 
                 0 
                 2 
                 1 
                 1 
                 2 
                 1 
                 1 
                 1 
                 1 
               
               
                 Chance2deal $925 at 23:59 
                 50% 
                 22% 
                 50% 
                 50% 
                 50% 
                 68% 
                 71% 
                 78% 
                 100% 
                 100% 
               
               
                 Chance2deal $900 
                 19% 
                 8% 
                 16% 
                 14% 
                 13% 
                 13% 
                 10% 
                 7% 
                 4% 
                 0% 
               
               
                   
               
               
                 Pastspeed = (Oqty)/Periodpast; 
               
               
                 Needspeed = (MinQ(Group)-(Oqty))/Periodfuture). 
               
             
          
         
       
     
     The function meets the following conditions, which are elementary conditions of a probability function: 
     If the Orderspeed is very close to the needspeed (Orderspeed=Needspeed) the chance the qty needed or will not be reached in close (Chance2deal=50%) (Chance2deal (Orderspeed/Needspeed=1)=50%). 
     If the Needspeed=0 the Chance2deal=100% 
     If the Orderspeed is higher then the needseped 100% &gt;Chance2deal&gt;50% 
     If the Orderspeed is lower than the needspeed 50%&gt;Chance2deal&gt;0% 
     The larger Orderspeed/Needspeed the larger the Chance2deal 
     The closer one gets to the stop date the more explicit the Orderspeed/needspeed will be and the clearer the Chance2deal will give a direction. 
     The Chance2deal function is a simple mathematical formula that meets all the above conditions. 
     It behaves as a mathematical 1st order function and in all points the derivatives from both sides are equal. 
     In the first order it is therefore correct (I.e. it is a correct first order approximation of the probability function and meets all above mentioned conditions) 
     One could derive higher order function, as will be discussed below. The higher order functions are more complex but still obey the same conditions. 
     In order to use the embodiment with the time factor auction embodiment it is necessary to define the Spast variable as the orders at the later date and a new variable chance2miss wherein 
     chance2deal=1−chance2miss. 
     [For tender one can use a similar model as Nauction. 
     For auction use the Percentual$increase/day as parameter and use the 2 nd  model i.e. 
     Day 1 $100 2 $200 3 $400=&gt;100%/day if on day 5 bid closes $1600=50% $450=2% $2800=75%. 
     The probability can be estimated each time a bid is made, or it can be estimated at regular intervals for the different quantity breaks. 
     In an embodiment the user screen may show a message of the form probability of bid acceptance at $100=70%. The screen then invites the user to update the estimate if the qty of purchase is22 1. 
     In a further embodiment of the present invention a method is shown for indicating on-line a predicted closing price. 
     As mentioned above, bidding instead of buying at a fixed price gives a price incentive to the customer in return for an uncertainty factor he is willing to accept. 
     The embodiment uses an algorithm which is derived from the above-mentioned probability algorithm. 
     Assume the e-value to be the bid level at which a calculated probability according to the above probability algorithm is 50%. 
     That is to say Chance2deal(x)=50%. 
     Using the above-defined nomenclature is when 
     Pastspeed=Needspeed=Futurespeed. 
     In the previously mentioned example, substitution gives the following: 
     
       
         
               
               
               
               
               
               
               
               
               
               
               
             
           
               
                   
               
               
                 Date in April 
                 1 
                 2 
                 3 
                 4 
                 5 
                 6 
                 7 
                 8 
                 9 
                 10 
               
               
                   
               
             
             
               
                 Qty ordered 
                 1 
                 0 
                 2 
                 1 
                 1 
                 2 
                 1 
                 1 
                 1 
                 1 
               
               
                 Chance2deal $925 at 23:59 
                 50% 
                 22% 
                 50% 
                 50% 
                 50% 
                 68% 
                 71% 
                 78% 
                 100% 
                 100% 
               
               
                 Chance2deal $900 
                 19% 
                 8% 
                 16% 
                 14% 
                 13% 
                 13% 
                 10% 
                 7% 
                 4% 
                 0% 
               
               
                 E-value in $ 
                 925 
                 1000 
                 925 
                 925 
                 925 
                 925 
                 925 
                 925 
                 925 
                 925 
               
               
                   
               
             
          
         
       
     
     In combination with the time value auction embodiment, an e-value may be calculated as follows: 
     Firstly we define the following variables: 
     CloseM=The moment when the Auction close; 
     OpenM=The moment when the auction starts; 
     OpenValue=The start value of the auction; 
     PastT=Is the amount of time past since OpenM; 
     Period=CloseM-OpenM; 
     FutureT=Period-PastT; 
     Bid(PastT)=The highest bid till the moment PastT; 
     DeltaV(PastT)=Bid(PastT)-OpenValue; 
     Valuespeed(PastT)=DeltaV(PastT)/PastT; 
     Then we may calculate: 
     e-value(PastT)=Bid(PastT)+FutureT*Valuespeed(PastT); 
     The results for our above example are as follows: 
     
       
         
               
               
               
               
               
               
               
               
               
               
               
             
               
               
               
               
               
               
               
               
               
               
               
             
           
               
                   
               
               
                 Date in April 
                 1 
                 2 
                 3 
                 4 
                 5 
                 6 
                 7 
                 8 
                 9 
                 10 
               
               
                   
               
             
             
               
                   
               
             
          
           
               
                 Bid(PastT) 
                 0 
                 130 
                 130 
                 160 
                 160 
                 190 
                 240 
                 244 
                 280 
                 300 
               
               
                 Valuespeed 
                 0 
                 15 
                 10 
                 15 
                 12 
                 15 
                 20 
                 18 
                 20 
                 300 
               
               
                 (PastT) at 23:59 
                   
                   
                   
                   
                   
                   
                   
                   
                   
                   
               
               
                 Openvalue in $ 
                 100 
                   
                   
                   
                   
                   
                   
                   
                   
                   
               
               
                 E-value in $ 
                 100 
                 250 
                 200 
                 250 
                 220 
                 250 
                 300 
                 280 
                 300 
                 300 
               
               
                   
               
             
          
         
       
     
     There are thus provided a series of features for incorporating into a bidding platform which features are adapted for the online nature of the bidding process, in particular they take advantage of the special features of online bidding, namely that the bidding is spread out over a period of time and and that bidders are remote from other bidders to provide a better representation of global supply and demand for the product or service. 
     In a further embodiment of the present invention a method is shown for on-line price adjustment using a negative feedback mechanism that effectively, accurately and fast reaches the equilibrium price where supply equals the demand. 
     In the basic form of this method the customer that inquires to purchase a product will be quoted the e-price that is valid during the timestep of his inquiry. If he decide to purchase this will be at that price (e-price). 
     This method is universal and can be applied in 90% of all products and services offered. It needs no modification in most of the markets. 
     The method has a basic form that addresses markets with a limited stock that is offered over a limited period of time, like tickets for a cinema. 
     In a further embodiment of this method, products that are in continuous production can be offered during an unlimited amount of item, i.e. It will continue till the supplier quits the offer. 
     In a further embodiment of this method the timestep will be released to the potential customers, i.e. the potential customer will know till when the e-price he sees will be valid, and optionally what will be the maximum change of the price compared to the next timestep. 
     The method effectively measures the supply and demand curve online, without interfering to strongly with the market itself, and uses this measurement to approach automatically and effectively the equilibrium e-price where supply equals demand. 
     In a further embodiment of this invention the customer that inquires at timestep=x and finds the e-price to high, can put a purchase request to buy the product at the price he will specify in the next timestep where the e-price will reach this price. Optionally he can condition this request by time, e.g. he conditions to purchase the product at $120 on the condition the timestep that will reach this price will be not later than x+3 (e.g. within 3 days from now). 
     Algorithm resume: 
     The period of the offer will be divided in timesteps or offer steps. 
     Timesteps are basically units of periods over which the e-price remains constant, 
     i.e. during one time step (e.g. one day or one hour) or offer step (e.g. after each 10 pieces sold) the e-price of the article offered will remain constant. 
     Both the accumulated Supply/Demand ratio and its time derivative in the last time step are measured. Optionally one could also measure higher derivatives of time. A negative feedback mechanism is used to correct the price for the next time step. 
     Both measurements determine the limited modification in price for the next timestep. 
     During the new timestep again these 2 measurements will be done and can increase cancel or leave the price change of the former timestep. 
     Background: 
     Today the suppliers only guess the price of an article. 
     This tool enables the market to reach fast the supply/demand equilibrium i.e. The price where Supply equals Demand. The more statistical input (in the form of orders) and the smaller the time step the faster and more accurate this can happen. The market that operates around the equilibrium where supply equals demand reduces unsold stocks and overproduction from one side and shortage and inflation from the other side. 
     General Statement of the Embodiment 
     “A Tool that allow suppliers to offer multiple quantity of products at a price that updates automatically online, approaching the equilibrium value (e-price) of the product to be offered, based on the supply input of the supplier and demand input of the customers, within a price framework defined by the supplier,including optional number of time-steps, maximal adjustment by time, a maximum and minimum price frame, while optionally the tool is not limited to address limited stock articles but also products under production” 
     The algorithm: 
     1—The period of the offer or time constant of the offer has to be defined. 
     E.g. for an offer that runs 100 days
         TOO=Time_of_offer=100days       

     2—The number of time steps, defining the number of periods within the TOO where the e-price remains unchanged, has to be defined. 
     E.g. if there will be 100 of such units during the offer
         Timesteps=100   DOT=Duration of timestep=TOO/#Timestep, in this example 100days/100=1 day.       

     3—The start price at which the offer will be quoted during the first timestep will be defined e.g. $150.
         Startprice=$150       

     Optionally the highest end lowest price can be limited e.g. by $100 and $200 respectively.
         Topprice=$200 (Optional)   Minprice=$100 (Optional)       

     4—The maximum price adjustment, i.e. the relative difference in e-price between timestep X and X+1
         MAPT=Max((e-price(X)-e-price(X−1))/e-price(X))   MAPT=Max_adjustment_per_timestep is set to 10% in this example.   MAPT=0.1       

     Optionally this can also be an absolute different e.g. $10. 
     The maximum MAPT due to the accumulated demand and supply ratio is defined e.g. 5% for accumulated demand/supply
         APTDS=0.05       

     The maximum MAPT due to the time derivative of the demand and supply ratio is defined e.g. 5%
         APTDT=0.05   With APTDS+APTDT=MAPT       

     The tolerance of the accumulated supply/demand, i.e. the ratio of Supply/demand that differs from unity that will lead to a price changed from timestep to timestep, will be defined. E.g.
         AcTol=Accumulatedtollerance=0.10       

     The tolerance of the derivative of supply/demand, i.e. the ratio of derivative of Supply/demand that differs from unity that will lead to a price change from timestep to timestep, will be defined. E.g.
         DerTol=Derrivativetollerance=0   Needquanity=number of pieces that are offered but haven&#39;t been sold yet.   Past=Period of time of the offer that has past already.   Future=TOO−Past   Needspeed=Needquantity/Future.   Soldquantity=Amount of pieces sold till now   Pastspeed=Soldquantity/Past   Lastspeed=The quantity sold during the last timestep/DOT       

     
       
         
               
               
               
             
               
               
             
               
             
               
               
             
               
               
             
               
             
               
               
             
           
               
                   
                   
               
             
             
               
                   
                 I=0; 
                 /** Start at timestep number 0 **/ 
               
             
          
           
               
                   
                 EPrice(I) = Start price;   /** The eprice at timestamp number 0 
               
             
          
           
               
                 is set to the start price **/ 
               
             
          
           
               
                   
                 Wile(I&lt;#Timesteps) 
               
               
                   
                 { 
               
             
          
           
               
                 I++; 
                 /***index is incremented**/ 
               
               
                 Tprice=Eprice(I−1) 
                 /*** Tprice is temporary price is set to the 
               
             
          
           
               
                 price of the last timestep ***/ 
               
             
          
           
               
                   
                 If (Neeedspeed&gt; ((1+AcTol)*Pastspeed)) 
               
               
                   
                 Eprice(I) = Tprice*(1−APTDS); 
               
               
                   
                 Elsif (Needspeed&lt; ((1−AcTol)*Pastspeed)) 
               
               
                   
                 Eprice(I) = Tprice*(1+APTDS); 
               
               
                   
                 /***In the example: 
               
               
                   
                   
               
             
          
         
       
     
     If during the accumulated time the demand was less than 10% than the supply the price will be lowered by 5%, 
     if during the accumulated time the demand was more than 10% than the supply the price will be increased by 5%, **/
         If(Needspeed&gt;((1−DerTol)*Lastspeed))   Eprice(I)=Tprice*(1−APTDT);   Else (Needspeed&lt;((1+DerTol)*Lastspeed))   Eprice(I)=Tprice*(1+APTDT);   /***In the example:       

     If during the last timestep the orderspeed was less than needed to finish the complete stock on the end date of the offer, then the price will be lowered by 5%, 
     If during the last timestep the orderspeed was more than needed to finish the complete stock on the end date of the offer, the price will be increased by 5%, **/
         If (Eprice(I)&lt;Lowest price)
           Eprice(I)=Lowestprice;   
           If (Eprice(I)&gt;Highestprice)
           Eprice(I)=Highestprice;   
           }       

     The product and or services will be offered at timestep=I at Eprice(I); 
     Optionally the tool may suggest and/or define the above mentioned constants based on the input parameters of the supplier and/or the statistical data of the bought products during the offer. These constants include number and length of time step, Max adjustment etc. This may even be modified online based on the statistical input of orders. 
     In case of an ongoing offer one can choose time step and time of the offer for calculation purposes only, using an algorithm like 
     #timesteps=100; i.e. the offer will not finish at timestep=100 but the offer will be handled as if the amount that will be available at timestep # 100 should be sold on that time. This point of time will however shift in time. E.g. on Mar. 20 the algorithm calculates the price as if the pieces available till May 5 need to be sold till May 5. However on Mar. 21 the algorithm calculates the price as if the pieces available till May 6 need to be sold till May 6, 
     This will require only a small addition to the above mentioned algorithm like
         If(I&lt;#timesteps/2)   CorectedI=I;   Else   Corrected I=#timesteps/2;       

     The rest of the above algorithm should run with the correctedI. 
     I.e. it calculates all statistical data as if the offer started #timesteps/2 ago and will last another #timestep/2. 
     As long as the offer doesn&#39;t reach the #timestep/2 the offer runs as if it will finish at #timestep. 
     Just as an example the period of the offer could be set to 2*delivery time of the product, while the number of pieces to be sold will be the number of pieces finished over that period, I,e, the number of booked products should equal the number of produced products. If in the last 50 timesteps this wasn&#39;t reached, the price should lower if it was reached at the last time step it should higher etc. 
     Further one could optionally use the online delivery information on all “quotations”. This simply by combining the general lead time with the orders received till now. 
     Example Illustrations 1 
     The method of limited stock 
     Case: The supplier wants to sell 100 cinema seats in 10 days (10 time steps). All other parameters as the above mentioned values. 
     
       
         
               
               
               
               
               
               
               
               
               
               
               
             
           
               
                   
               
               
                 Date/# Time st 
                 1 
                 2 
                 3 
                 4 
                 5 
                 6 
                 7 
                 8 
                 9 
                 10 
               
               
                   
               
             
             
               
                 Eprice (Date) 
                 $150 
                 $135 
                 $121 
                 $109 
                 $109 
                 $114 
                 $120 
                 $114 
                 $120 
                 $126 
               
               
                 Sold in date 
                 5 
                 7 
                 9 
                 13 
                 14 
                 11 
                 10 
                 12 
                 10 
                 8 
               
               
                 Sold quantity 
                 5 
                 12 
                 21 
                 34 
                 48 
                 59 
                 69 
                 81 
                 91 
                 99 
               
               
                 Accumulated 
                 0.5 
                 0.56 
                 0.64 
                 0.77 
                 0.92 
                 0.96 
                 0.95 
                 1.07 
                 1.12 
                   
               
               
                 Demand/Supply 
                   
                   
                   
                   
                   
                   
                   
                   
                   
                   
               
               
                 Derived Demand/ 
                 0.5 
                 0.66 
                 0.82 
                 1.18 
                 1.35 
                 1.07 
                 0.97 
                 1.41 
                 1.11 
                   
               
               
                 Supply 
                   
                   
                   
                   
                   
                   
                   
                   
                   
                   
               
               
                 Need speed 
                 10.56 
                 11 
                 11.29 
                 11 
                 10.4 
                 10.25 
                 10.33 
                 9.5 
                 9 
                   
               
               
                   
               
             
          
         
       
     
     In the example the e-price helped to sell 99 out of 100 seats at a price that represent the value on the day of purchase. During the first days the e-price noticed that the supplier fixed a start price that is too high, and adjusted the price accordingly in course of time. 
     Example Illustrations 2 
     The method of ongoing production 
     Case: The supplier wants to sell 100 TV set in TOO=10 days (10 time steps). All other parameters as the above mentioned value, in the following days there will be an additional 10 sets per day available for sale. I.e. it will be not to important for the supplier to finish these 100 TV sets in the 10th day but he wold like to have an average selling speed of 10 TV sets per day. 
     
       
         
               
               
               
               
               
               
               
               
               
               
               
             
           
               
                   
               
               
                 Date/st 
                 1 
                 2 
                 3 
                 4 
                 5 
                 6 
                 7 
                 8 
                 9 
                 10 
               
               
                   
               
             
             
               
                 Eprice (Date) 
                 $150 
                 $135 
                 $121 
                 $109 
                 $109 
                 $114 
                 $120 
                 $120 
                 $120 
                 $114 
               
               
                 Sold in date 
                 5 
                 7 
                 9 
                 13 
                 14 
                 11 
                 10 
                 10 
                 10 
                 11 
               
               
                 Sold quantity 
                 5 
                 12 
                 21 
                 34 
                 48 
                 54 
                 57 
                 58 
                 55 
                 52 
               
               
                 Accumulated Demand/ 
                 0.5 
                 0.56 
                 0.64 
                 0.77 
                 0.92 
                 108/101 
                 114/101 
                 116/101 
                 110/101 
                 104/100 
               
               
                 Supply 
                   
                   
                   
                   
                   
                 1.07 
                 1.12 
                 1.15 
                 1.09 
                 1.04 
               
               
                 Derived Demand/ 
                 0.5 
                 0 66 
                 0.82 
                 1.18 
                 1.35 
                 110/101 
                 100/101 
                 100/101 
                 100/101 
                 110/100 
               
               
                 Supply 
                   
                   
                   
                   
                   
                 1.09 
                 0.99 
                 0.99 
                 0.99 
                 1.1 
               
               
                 Need speed 
                 10.56 
                 11 
                 11.29 
                 11 
                 10.4 
                 10.1 
                 10.1 
                 10.1 
                 10.1 
                 10 
               
               
                   
               
             
          
         
       
     
     Note that 
     From the 6th day onward the accumulated supply is reduced by the quantity purchased during that timestep, while 10TV sets are added that represent the production quantity during that day. 
     The accumulated demand accumulates only over the last 5 timesteps (From the 5th step onwards) 
     On the 11th day the offer will continue and the price will be $120. 
     The Supply and demand have been normalized to a period of 10 days, i.e. The supply and demand that has been accumulated over 5 days will be multiplied by 2 before it will be displayed in the Demand and Supply section. In this normalization the number of the supply and demand of one day will be multiplied by 10. This normalization doesn&#39;t effect the ratio but may help to understand the numbers displayed above more easily. 
     In case on the 10th day more than 11 pcs would have be ordered, they could have been delivered only during the next day, because they wouldn&#39;t have been in the stock. 
     Optionally the supplier could change the Supply and/or production in put in cause of time, e.g. if he will hire a new worker and form date 9 the number of TV sets will increase to 15/day the offer will change accordingly. 
     As an opoin to both methods one could change several parameters in course of time as a function of time or statistical input. For example: 
     As a function of IT=is the index of timestep (1 for the first time step 2 for the second etc)
         MAPT=0.1/Sqrt(IT)   APTDS=0.05/Sqrt(IT)   APTDT=0.05/Sqrt(IT)   AcTol=Accumulatedtollerance=0.10/(IT) 0.33      DerTol=Derrivativetollerance=0       

     This will allow to correct fast for the e-price in the beginning where the start-price will be far from equilibrium and more fine in cause of time where the price gets closer to equilibrium. 
     Example Illustrations 3 
     A limited stock item with above mentioned IT dependence except for Actol that has been set constant to 0.1 for simplicity. 
     
       
         
               
               
               
               
               
               
               
               
               
               
               
             
           
               
                   
               
               
                 Date/# Time at 
                 1 
                 2 
                 3 
                 4 
                 5 
                 6 
                 7 
                 8 
                 9 
                 10 
               
               
                   
               
             
             
               
                 Eprice (Date) 
                 $150 
                 $135 
                 $125 
                 $118 
                 $112 
                 $112 
                 $112 
                 $114 
                 $116 
                 $120 
               
               
                 Sold in (Date) 
                 5 
                 7 
                 8 
                 10 
                 13 
                 13 
                 13 
                 12 
                 11 
                 11 
               
               
                 Sold quantity 
                 5 
                 12 
                 20 
                 30 
                 43 
                 56 
                 69 
                 81 
                 92 
                 102? 
               
               
                 Accumulated 
                 0.5 
                 0.56 
                 0.58 
                 0.64 
                 0.75 
                 0.82 
                 0.95 
                 1.07 
                 1.27 
                   
               
               
                 Demand/Supply 
                   
                   
                   
                   
                   
                   
                   
                   
                   
                   
               
               
                 Derived Demand/ 
                 0.5 
                 0.66 
                 0.7 
                 0.85 
                 1.14 
                 1.07 
                 1.26 
                 1.41 
                 1.37 
                   
               
               
                 Supply 
                   
                   
                   
                   
                   
                   
                   
                   
                   
                   
               
               
                 Need speed 
                 10.56 
                 11 
                 11.4 
                 11.7 
                 11.4 
                 11.33 
                 10.33 
                 9.5 
                 8 
                   
               
               
                   
               
             
          
         
       
     
     In this example the stock was finished before the end of the offer as during the last day one could have sold 11 pcs while there were only left 9 pieces. Although one sees not a clear improvement compared to the regular version this is because the start price was far from the equilibrium. To compensate for this one should choose with this option a higher MAPT to start with, like 0.15. In this case, then it will provide a smoother evaluation. 
     Or as another example as a function of the Statistical input e.g.
         DeltaPriceSpeed(IT)=DPS(IT)=Absolute value of (Startprice−e-Price(IT))/IT.   For IT&gt;1   MinApt=0.01   MAPT=MinApt+DPS(IT)*2)   APTDS=MinApt+(DPS(IT))   APTDT=MinApt+DPS(IT)   AcTol=Accumulatedtollerance=0.10/(IT) 0.33      DerTol=Derrivativetollerance=0       

     Example 4 
     A limited stock item with above mentioned statistical input function dependence (but Actol=0.1=constant, and MinApt=0 for simplicity). 
     
       
         
               
               
               
               
               
               
               
               
               
               
               
             
           
               
                   
               
               
                 Date/# Time st 
                 1 
                 2 
                 3 
                 4 
                 5 
                 6 
                 7 
                 8 
                 9 
                 10 
               
               
                   
               
             
             
               
                 Eprice (Date) 
                 $150 
                 $135 
                 $105 
                 $105 
                 $135 
                 $131 
                 $127 
                 $119 
                 $111 
                 $116 
               
               
                 Sold in date 
                 5 
                 7 
                 16 
                 16 
                 7 
                 8 
                 8 
                 10 
                 13 
                 11 
               
               
                 Sold quantity 
                 5 
                 12 
                 28 
                 44 
                 51 
                 59 
                 67 
                 77 
                 90 
                 101? 
               
               
                 Accumulated 
                 0.5 
                 0.56 
                 0.86 
                 1.18 
                 1.04 
                 0.96 
                 0.87 
                 0.84 
                 1 
                   
               
               
                 Demand/Supply 
                   
                   
                   
                   
                   
                   
                   
                   
                   
                   
               
               
                 Derived Demand/ 
                 0.5 
                 0.66 
                 1.57 
                 1.71 
                 0.71 
                 0.78 
                 0.73 
                 0.87 
                 1.3 
                   
               
               
                 Supply 
                   
                   
                   
                   
                   
                   
                   
                   
                   
                   
               
               
                 Need speed 
                 10.56 
                 11 
                 10.2 
                 9.33 
                 9.8 
                 10.25 
                 11 
                 11.5 
                 10 
                   
               
               
                 DPS (IT) 
                   
                 $15 
                 $22.5 
                 $15 
                 $4 
                 $4 
                 $4 
                 $4 
                 $5 
                   
               
               
                   
               
             
          
         
       
     
     In a further embodiment of the present invention a method is shown for bidding on a network for similar but not identical transport request. 
     General Statement of the embodiment: 
     This is a method that uses a fully computerized procedure to create a transportation service tailored and optimized to the actual demand of all serious customers, using today&#39;s available computation and communication power, a novel algorithm of matching similar but not equal transportation requests to enable consolidation of services, and reducing their costs. 
     This transport service can include the delivery and or transport of persons and or goods. For the matter of simplicity, in the rest of the description of the model the product will be named “route”, and the operator of the procedure “Way2gether”. 
     The communication can be done by phone, WAP, e-mail or Internet. I will relate to the mode of communication in the description as Internet which may be the most realistic mode to implement this idea. 
     The computation power for a limited area of interest could be done with a commercial PC (Pentium III or so), but I will refer to it as the SERVER. 
     Algorithm Resume Way2gether 
     1            The customer should start his request for a route by providing some route details.
     The number of route details requested and provided may vary, but could for instance include the below bold printed requested and italic printed provided. 
     
       
         
               
               
               
             
               
               
               
             
           
               
                   
               
             
             
               
                   
                 Leaving 
                 Arriving 
               
               
                 ZIP 
                 95348 
                 953867 
               
               
                 Time 
                 8:00 +/− 10 minutes 
                 9:00 +/− 10 minutes 
               
               
                 Return time 
                 17:00 
                 18:00 
               
               
                 Full address 
                 Amsterdam Ave 166 
                 Broadway 157 
               
               
                   
                 Passaic NJ 
                 NY NY 
               
               
                 Maximal allowed walking 
                 5 minutes 
                 5 minutes 
               
               
                   
               
             
          
           
               
                   
                 Maximal budget 
                 $150/Month 
               
               
                   
                 Weekdays to work 
                 Mo/Tu/We/Th/Fr 
               
               
                   
                 Last day of the month to 
                 4 days before the end 
               
               
                   
                 accept an offer 
                 of each month 
               
               
                   
                 Credit card number 
                 123456789123 
               
               
                   
                 Interest in trip till 
                 Further notice 
               
               
                   
                   
               
             
          
         
       
     
     After the details have been submitted. 
     2           
     The company (way2gether in this case) should provide a list of possible connections that meet these requests or is close to this request. 
     For example 
     
       
         
               
               
               
               
             
           
               
                   
               
               
                 Extra pay for 
                   
                   
                   
               
               
                 home 2 home 
                   
                   
                 Price 
               
               
                 transport 
                 Leaves 
                 Arrive 
                 Chance2deal 
               
               
                   
               
             
             
               
                 $25 
                 7:30 
                 8:15 
                 $100/100% 
               
               
                   
                 From 
                 Broadway 120 
                 $80/80% 
               
               
                   
                 Amsterdam Ave 120 
                 NY 
                 $65/50% 
               
               
                   
                 Passaic NJ 
                   
                 $55/25% 
               
               
                   
                   
                   
                 $50/10% 
               
               
                 $35 
                 8:00 
                 8:55 
                 $175/100% 
               
               
                   
                 From 
                 Amsterdam Ave 150 
                 $130/80%  
               
               
                   
                 Amsterdam Ave 75 
                 NY 
                 $105/50%  
               
               
                   
                 Passaic 
                   
                 $80/28% 
               
               
                 $25 
                 8:30 
                 9:20 
                  $90/100% 
               
               
                   
                 From 
                 Broadway 120 
                 $75/85% 
               
               
                   
                 Amsterdam Ave 120 
                 NY 
                 $65/70% 
               
               
                   
                 Passaic NJ 
                   
                 $55/60% 
               
               
                   
                   
                   
                 $47/35% 
               
               
                   
                   
                   
                 $40/15% 
               
               
                   
               
             
          
         
       
     
     This listing may include 
     A selection of routes that have been offered once before by the company (way2deal) and/or newly defined routes based on the requests put by the customer and a master price list and/or pricing program. 
     Optionally these routes can be offered with an innovative deal-mode that was mentioned elsewhere in this invention. For simplicity I will use the method where the customers accumulates to a common quantity break. 
     3 
     The customer should select at least one option e.g. 
     
       
         
               
               
               
               
               
             
           
               
                   
                   
               
             
             
               
                   
                 $35 
                 8:00 
                 8:55 
                 $130/80% 
               
               
                   
                   
                 From 
                 Amsterdam Ave 150 
               
               
                   
                   
                 Amsterdam Ave 75 
                 NY 
               
               
                   
                   
                 Passaic 
               
               
                   
                   
               
             
          
         
       
     
                  4
     The customer will receive a confirmation in some form when the deal is accepted. 
     This innovation could be exploited in various ways including: 
     Way2gether could exploit the transport service completely, and/or 
     Close master agreements with transport companies, and bill the customer including a mark up, and/or 
     Receive a commission from the third parties transport companies that sell and or produce the service, and/or 
     Advertisements of third parties on a web-site that offerers the service. 
     Other ways 
     Potential Markets way2gether 
     First Market: Home to work. 
     Addressing both luxury car drivers and upgrading public transport. 
     Second market: Coincidental travel. 
     Including Cinema, Theater, sport events and regular. 
     Third market: Vacation travel. 
     Including busses Amsterdam—Costa Brava, chartering flights, trains boats. Etc 
     Fourth market: Parcels, goods and letter transport. 
     Way2gether.com 
     The interactive travel office 
     Algorithm 
     Introduction: 
     This section explains to a programmer how to write the way2gether source code. 
     The actual writing of the code should commence when relevant budget is available. This is expected to take 3 months for 4 full time programmers. No imagination is needed of these programmers and at the function described herein are straightforward for an expert in the art of programming. 
     Main 
     The main function intended here describes one run on the central computer for the entire project. 
     It will create a framework that can accept third parties information. 
     One can start a main program for each country or area separately. 
     Addresses like way2gether.com with links to way2gether.uk, way2gether.nl etc. seem obvious then. 
     Initialize 
     The program will include global variables: 
     
       
         
               
               
             
           
               
                   
               
             
             
               
                 Route2gether(From, 
                 This will host all information on routes that 
               
               
                 To) 
                 are available. 
               
               
                   
                 Available here means either 
               
               
                   
                 operative 
               
               
                   
                 a passenger gave a bid for it 
               
               
                   
                 a supplier provided a specific offer for it 
               
               
                   
                 was entered intentionally by Way2gether to 
               
               
                   
                 stimulate a certain route. 
               
               
                   
                 Passengers and suppliers won&#39;t have a direct 
               
               
                   
                 access to this variable. Only routes that passed 
               
               
                   
                 a certain screening criteria will be added to 
               
               
                   
                 this variable. 
               
               
                   
                 The zip codes will be pointers that address the 
               
               
                   
                 subsection of the routes from and to these Zip 
               
               
                   
                 codes. This to allow faster access to these 
               
               
                   
                 smaller sections. 
               
               
                   
                 Below this variable is further elaborated. 
               
               
                 Carprice(Size_of_car, 
                 This is a function that will return a value: 
               
               
                 From, To, RouteID) 
                 The costs for way2gether to hire a vehicle for 
               
               
                   
                 Route = Route ID. 
               
               
                   
                 This value should be returned either based on 
               
               
                   
                 a price list, i.e. a real cost listed for a specific 
               
               
                   
                 RouteID or 
               
               
                   
                 This value can be returned after a calculation 
               
               
                   
                 that takes certain parameters of the RouteID and 
               
               
                   
                 uses a formula. 
               
               
                   
                 Below this variable is further elaborated 
               
               
                 Suppliers(suppliersID) 
                 Will contain all needed information on each 
               
               
                   
                 potential supplier and passenger. 
               
               
                   
                 All Suppliers that gave a serious quotation or 
               
               
                   
                 came to a real master agreement will get an 
               
               
                   
                 internal SupplierID. 
               
               
                   
                 This SupplierID will be the pointer that addresses 
               
               
                   
                 the details of the Supplier in the Suppliers file 
               
               
                   
                 Below this variable is further elaborated 
               
               
                 Suppliers(area) 
                 Will return a list of suppliersID&#39;s of suppliers 
               
               
                   
                 that can offer their service in a certain area. 
               
               
                 Ppassenger(passenger  
                 Will contain all needed information on each 
               
               
                 #) 
                 potential passenger and passenger. 
               
               
                   
                 All customers that gave a serious bid, (e.g. Credit 
               
               
                   
                 card details have been screened) will get an 
               
               
                   
                 internal passenger #. This passenger # will be the 
               
               
                   
                 pointer that addresses the details of the passenger 
               
               
                   
                 in the Ppassenger file. 
               
               
                   
                 Below this variable is further elaborated 
               
               
                 Define area&#39;s 
                 Divide the country in Well known names like 
               
               
                   
                 Flatbush(Brooklyn) define it on the map. 
               
               
                   
                 The whole map of the target area should be 
               
               
                   
                 divided in these areas. It shouldn&#39;t be too hard 
               
               
                   
                 to use an existing map for that. 
               
               
                 A2Z(Area) 
                 A function that returns an array of zip codes 
               
               
                   
                 contained in the local area&#39;s defined (like 
               
               
                   
                 Brooklyn, NY). 
               
               
                 Z2A(Zip) 
                 A function that returns the area (like Brooklyn, 
               
               
                   
                 NY) that belongs to the Zip entered 
               
               
                 Distance(From, To) 
                 A function that returns a maximum distance 
               
               
                   
                 between the From and the to (GSM) coordinates. 
               
               
                   
                 First this function should look in a table if the 
               
               
                   
                 distance is not listed for those coordinates. 
               
               
                   
                 Else it should basically be used for maximum 
               
               
                   
                 price calculations, and (let say) 30% more than 
               
               
                   
                 the “straight line value”. 
               
               
                   
                 Way2gether reserves the right to measure it 
               
               
                   
                 (later) by whatever means including an existing 
               
               
                   
                 computer program, or writing a more advanced 
               
               
                   
                 computer program. 
               
               
                 Constants 
                 Some parameters that in the functions-advanced 
               
               
                   
                 file can be variables, and supplier or customer 
               
               
                   
                 depended. In this functions-basic file these have 
               
               
                   
                 been set constants. 
               
               
                   
               
             
          
         
       
     
     These variables will be an Excel like “dbase”, while the number of rows may expand with time. 
     In the initialize part al the possible columns will be defined together with an open structure that will allow addition of a lot of rows in each “dbase”. 
     The routes2gether(From,To) will include several routes each with their own RouteID. The RouteID should be a serial number within the defined From and To. 
     From and To are here the Zip codes (or (GSM)coordinates if this will be more effective) of the start and stop point of a route. The Matrix of one such a RouteId should include the following information 
     
       
         
               
               
               
               
               
               
               
               
             
           
               
                   
               
               
                   
                   
                   
                   
                   
                 Passenger # 
                   
                   
               
               
                   
                   
                   
                   
                 Passenger #&#39;s 
                 That bid for the 
                   
                   
               
               
                   
                   
                   
                   
                 That joined 
                 price that will be 
                   
                   
               
               
                   
                   
                   
                   
                 already this route 
                 obtained if more 
                   
                   
               
               
                   
                   
                   
                   
                 With the week 
                 people will joined, 
                   
                   
               
               
                   
                   
                   
                 # of passenger&#39;s 
                 days joining 
                 each which the 
                 Street and 
                 Street and 
               
               
                 Leave 
                 Arrival 
                 Route ID 
                 joined 
                 And stop-day 
                 amount needed 
                 Number arrive 
                 number leave 
               
               
                   
               
             
             
               
                 8:00 
                 9:00 
                 15 
                 3 
                 9968-23456-31122 
                 99614-6 
                 Broadway 
                 Amsterdam 
               
               
                   
                   
                   
                   
                 9965-23406-31082 
                 99616-8 
                 125 
                 Ave 15 
               
               
                   
                   
                   
                   
                 99612-3400-31072 
                 99621-16 
                   
                   
               
               
                   
               
             
          
         
       
     
     
       
         
               
               
             
               
               
               
               
               
               
               
               
             
           
               
                   
               
               
                 Car price/day 
                   
               
               
                 &lt;Direct costs for 
                 Current Amount of passengers/day 
               
               
                 way 2gether&gt; 
                 Defines each weak day 
               
               
                   
               
             
             
               
                   
               
             
          
           
               
                 $50 
                 Su 
                 Mo 
                 Tu 
                 We 
                 Th 
                 Fr 
                 Sa 
               
               
                   
                 0 
                 2 
                 3 
                 3 
                 1 
                 2 
                 W2S 
               
               
                   
               
             
          
         
       
     
     Suppliers (suppliersID) 
     This should comain relevant information from each supplier both details and conditions. Including: 
     
       
         
               
               
               
               
             
               
               
               
               
               
             
               
               
               
               
               
             
           
               
                   
               
             
             
               
                   
                   
                 Lead-time 
                   
               
               
                   
                   
                 &lt;time needed to get 
               
               
                   
                 Car types 
                 at “From” after 
                 Can accept and 
               
               
                   
                 Available 
                 accepting of an 
                 confirm order 
               
               
                 Area 
                 (in passengers/car) 
                 order&gt; 
                 by e-mail 
               
               
                   
               
             
          
           
               
                 Brooklyn, 
                 4-5 
                 pcs 
                  2 minutes MIN 
                 Yes 
               
               
                 NY 
               
               
                 Queens, NY 
                 7-10 
                 pcs 
                 30 minutes MAX 
               
               
                   
                 10-2 
                 pcs 
               
               
                 Manhattan, 
               
               
                 NY 
               
               
                   
               
             
          
           
               
                 Satisfaction 
                   
                   
                   
                 Contact + 
               
               
                 of 
                 Fully booked 
                   
                   
                 phone + 
               
               
                 customers 
                 for periods 
                 e-mail 
                 Address 
                 fax 
               
               
                   
               
               
                 75% 
                  9/12 
                 Order@ 
                 Broadway 
                 Moshe Cohen 
               
               
                   
                 10-12.00 
                 eged.com 
                 12 NY. 
                 Jean Smith 
               
               
                   
                 10/12 
                   
                   
                 212-1212-121 
               
               
                   
                 7.00-8.30 
               
               
                   
                 11/12 
               
               
                   
                 9.30-11.00 
               
               
                   
                 11/12 
               
               
                   
                 15.00-16.45 
               
               
                   
               
             
          
         
       
     
     Constant values 
     These may become later route, area, supplier and or customer dependent the values are examples. 
     The functions-advanced file may se part of them as variables 
     
       
         
               
             
               
               
               
             
           
               
                   
               
               
                 Extra pay for home 2 home transport 
               
               
                   
               
             
             
               
                   
               
             
          
           
               
                   
                 within 1 km or 5 minutes drive 
                 $3 
               
               
                   
                 &lt;A cab will collect from residence 
               
               
                   
                 and bring you to your work address&gt; 
               
               
                   
                 Extra pay for each additional 
                 $2 
               
               
                   
                 kilometer 
               
               
                   
                   
               
             
          
         
       
     
     
       
         
               
             
               
               
               
             
           
               
                   
               
               
                 NominalKmprice(carsize) 
               
             
          
           
               
                   
                 Car size 
                 Km price/car 
               
               
                   
                   
               
               
                   
                  4 passengers 
                 $2.50 
               
               
                   
                  7 passengers 
                 $3   
               
               
                   
                 10 passengers 
                 $3.50 
               
               
                   
                 20 passengers 
                 $4.50 
               
               
                   
                 50 passengers 
                 $6.00 
               
               
                   
                 80 passengers 
                 $7.00 
               
               
                   
                   
               
             
          
         
       
     
     
       
         
               
             
               
               
               
               
               
             
           
               
                   
               
               
                 Specific prices that supersedes general pricing (partial list) 
               
             
          
           
               
                 From 
                 To 
                 4p 
                 7p 
                 10p 
               
               
                   
               
               
                 Passaic NJ 
                 Manhattan NY 
                 $25 
                 $29 
                 $32 
               
               
                 JFK NY 
                 Manhattan NY 
                 $25 
                 $29 
                 $32 
               
               
                 81298 
                 81278 
                 $20 
                 $24 
                 $26 
               
               
                   
               
             
          
         
       
     
     
       
         
               
             
               
               
               
               
             
           
               
                   
               
               
                 Relative Area rating 
               
             
          
           
               
                 80% of 
                 100% of nominal 
                 120% of nominal 
                 140% of 
               
               
                 nominal price 
                 price 
                 price 
                 nominal price 
               
               
                   
               
               
                 Class A 
                 Class B 
                 Class C 
                 Class D 
               
               
                 Oklahoma 
                 MA 
                 City centers of 
                 Crowded area&#39;s 
               
               
                 VA 
                 CT 
                 Baltimore 
                 Manhattan 
               
               
                  Utah 
                  CA 
                  Miami 
                 Chicago center 
               
               
                   
                  NY 
                  Texas 
                 Boston Center 
               
               
                   
                   
                  Etc 
               
               
                   
               
             
          
         
       
     
     
       
         
               
             
               
               
               
               
             
           
               
                   
               
               
                 Relative hour rating 
               
             
          
           
               
                 80% of 
                 100% of 
                 120% of 
                 140% of 
               
               
                 nominal price 
                 nominal price 
                 nominal price 
                 nominal price 
               
               
                   
               
               
                 Class A 
                 Class B 
                 Class C 
                 Class D 
               
               
                 10:00-15:00 
                 6:00-7:00 
                  7:00-9:00 
                 1:00-6:00 
               
               
                   
                  9:00-10:00 
                 16:30-18:00 
                 Sunday 
               
               
                   
                 15:00-16:30 
                 24:00-1:00  
                 (Sabbath with partner 
               
               
                   
                 18:00-24:00 
                   
                 Way2Saturday) 
               
               
                   
               
             
          
         
       
     
     
       
         
               
             
               
               
               
             
           
               
                   
               
               
                 Mark up (Confidential) &lt;Between suppliers price 
               
               
                 and accumulated passengers price&gt; 
               
             
          
           
               
                   
                 Amount of travelers/vehicle 
                 in % of the costs (example) 
               
               
                   
                   
               
               
                   
                 1 
                  2 
               
               
                   
                 2 
                  7 
               
               
                   
                 3 
                 10 
               
               
                   
                 4 
                 12 
               
               
                   
                 5 
                 4 + 2* 
               
               
                   
                 or more 
                 (amount of travelers) 
               
               
                   
                   
               
             
          
         
       
     
     
       
         
               
             
               
               
               
               
             
           
               
                   
               
             
             
               
                 Standard terms to Supplier 
               
             
          
           
               
                   
                   
                 Way2gether 
                   
               
               
                   
                   
                 reserves the 
               
               
                   
                   
                 right to cancel 
               
               
                   
                 Suppliers 
                 orders to 
                 Payment 
               
               
                   
                 should 
                 suppliers. 
                 terms From 
               
               
                   
                 confirm an 
                 Notice in 
                 way2gether to 
               
               
                   
                 order within 
                 advance of 
                 Supplier 
               
               
                   
                 5 
                 60 
                 Net30 
               
               
                   
                 minutes 
                 minutes or more 
               
               
                   
                   
               
             
          
         
       
     
     The Carprice 
     Carprice(Size_of_car, From, To, RouteID) should return the costs of a car of a certain size for the route defined. 
     This function should first look if it the route price is explicitly defined as a constant. 
     If not the price should be calculated as follows:
         Carprice=Distance(From, To)*Areafactor*Timefactor*NominalKmprice(carsize).       

     
       
         
               
             
               
               
             
           
               
                   
               
               
                 General information 
               
               
                   
               
             
             
               
                   
               
             
          
           
               
                 Surname 
                 Cohen 
               
               
                 First name 
                 Moshe 
               
               
                 Full address 
                 Amsterdam Ave 166 Passaic NJ 
               
               
                 Credit card number 
                 123456789123 
               
               
                 Credit card details have been verified 
                 Yes 
               
               
                 Phone 
                 212-316-7896 
               
               
                 Fax 
                 212-316-7897 
               
               
                 Mobile 
                 211123232121 
               
               
                 Email 
                 Cohen@Customer.com 
               
               
                 Passenger# 
                 15356564 
               
               
                 Credit status 
                 $168 
               
               
                   
               
             
          
         
       
     
     
       
         
               
             
               
               
               
               
             
           
               
                   
               
               
                 Outstanding bids 
               
               
                   
               
             
             
               
                   
               
             
          
           
               
                 From Zip 
                 99553 
                 99552 
                 99556 
               
               
                 To Zip 
                 99552 
                 99553 
                 99553 
               
               
                 Route ID 
                 15 
                 16 
                 721 
               
               
                 Bid valid if the 
                 4 
                 4 
                 6 
               
               
                 following number of 
               
               
                 passenger will join 
               
               
                 Weekdays 
                 2/3/4/5/6 
                 2/3/4/5/6 
                 3 
               
               
                 Interested till 
                 Dec. 30, 2000 
                 Dec. 30, 2000 
                 Aug. 31, 2000 
               
               
                 Renewal per 
                 Month 
                 Month 
                 No 
               
               
                 Latest acknowledge 
                 48 
                 48 
                 5 
               
               
                 accepted 
               
               
                 in hours before 
               
               
                 journey 
               
               
                 Active 
                 Yes 
                 Yes 
                 No 
               
               
                   
               
             
          
         
       
     
     Start of main function 
     Supplier enter details 
     Introduction: 
     This optional part may be dealt with manually in the early stage of the way2gether program. 
     Later a transport company could enter automatically or semi-automatically his details. Some of the conditions may be set by way2gether others by the supplier. 
     Typical details to include: 
     What kind of cars are offered. 
     How many cars can be offered at most. 
     In what territory can the supplier provide the service 
     How much time is needed to confirm an order. 
     At the end of this procedure the supplier should have a master contract with way2gether: 
     Algorithm: 
     Please enter your details: 
     
       
         
               
               
               
               
               
             
           
               
                   
               
               
                   
                   
                   
                 Lead-time 
                   
               
               
                   
                   
                 Car types 
                 &lt;time needed 
               
               
                   
                   
                 Available 
                 to get at 
                 Can accept 
               
               
                   
                   
                 (in 
                 “From” after 
                 and confirm 
               
               
                   
                   
                 passengers/ 
                 accepting of an 
                 order by 
               
               
                 Company 
                 Area 
                 car) 
                 order&gt; 
                 e-mail 
               
               
                   
               
             
             
               
                 Egedt 
                 Brooklyn, NY 
                 4-5 pcs 
                 2 minutes MIN 
                 Yes 
               
               
                   
                 NY 
               
               
                   
                 Queens, NY 
                 7-10 pcs 
                 30 minutes 
               
               
                   
                 Manhattan, 
                 10-2 pcs 
                 MAX 
               
               
                   
                 NY 
               
               
                   
               
             
          
         
       
     
     
       
         
               
               
               
               
               
             
           
               
                   
               
               
                 Fully 
                   
                   
                   
                   
               
               
                 booked 
               
               
                 for 
                 e-mail for 
               
               
                 periods 
                 orders 
                 Address 
                 Contacts 
                 Tel/fax/email 
               
               
                   
               
             
             
               
                 9/12 
                 Order@egedt.com 
                 Broad- 
                 Moshe 
                 212-2163-385/387 
               
               
                 10- 
                   
                 way 12 
                 Catz 
                 moshe@egedt.com 
               
               
                 12.00 
                   
                 NY. 
               
               
                 10/12 
               
               
                 7.00- 
               
               
                 8.30 
               
               
                 11/12 
                   
                   
                 Jan 
                 212-2163-386/387 
               
               
                 9.30- 
                   
                   
                 Hein 
                 Jan@egedt.com 
               
               
                 11.00 
               
               
                 11/12 
               
               
                 15.00- 
               
               
                 16.45 
               
               
                   
               
             
          
         
       
     
     
       
         
               
               
               
             
           
               
                   
                   
               
             
             
               
                   
                 Bank 
                 Chase Manhattan 
               
               
                   
                 Account number 
                 145668787374 
               
               
                   
                   
               
             
          
         
       
     
     Way2gether enters details 
     This part allows way2gether to change the conditions from time to time. 
     The most important part will be to fix the constants of the pricing functions and the marking-up function. Additionally it may include the Sponsoring of some routes. 
     Customer enters details 
     This function should collect information from the customer. 
     This should include a description of the route and schedule he is interested in. 
     It will also include an indication how severe each requirement is. 
     Check if the details make sense 
     This function should debug the information entered by the customer. 
     If it doesn&#39;t make sense or is incomplete the customer should have an opportunity to correct and/or complete the details he entered. 
     Screen for available routes 
     Look for routes in “Routes2gether” that meet the customer requirements. Add these to his personal “Routes2offer” Matrix, within the defined tolerances. 
     If no route in “Routes2gether” meets the requirements then: 
     Add at least one route close to the requirements to the “Routes 2offer” Matrix 
     Create a temporary “custom” route exactly like the customer requested and add this to the “Routes2offer” Matrix. 
     Calculate 100% pricing 
     Calculate the pricing to offer this customer for all routes from his personal “Routes2offer” matrix. 
     Calculate &lt;100% pricing 
     Assume another passenger will join the same route. 
     Calculate pricing with this additional passenger 
     Calculate the chance2deal: The chance that indeed another passenger will join, using the proprietary “Chance2deal” function. 
     If the chance2deal remains high enough, this procedure can be repeated. 
     Add this offer with the pricing and chance2deal to the routes2offer matrix. 
     The customer selects from the Routes2offer 
     Show all the routes2offer with their details to the customer. These should include price and chance2deal. 
     The customer should be able to select one of the offered routes at one of the prices offered. 
     Collect personal information 
     This should include credit card or other paying information. 
     Update 
     Give the info of the new customer to the chauffeur for existing routes. 
     Update he Routes2gether file and other relevant files 
     Order 
     If the route didn&#39;t exist yet, look what will be the Preferred_supplier (Area). 
     Order the route at the preferred supplier. 
     Follow up on order 
     Remind and/or cancel and order at another supplier, if the supplier does not acknowledge the order. 
     Once an acknowledgment of the order is received, update the Routes2gether file and other relevant files 
     Confirm the order 
     If the customer chose a 100% offer this can be done immediately. 
     If not, the customer should get immediately info when he might get a confirmation. 
     His bid should be saved and update the routes2gether file accordingly. Once enough passengers join the bid, the customer will be confirmed automatically. 
     Bill the customer 
     Preferably by using his credit-card info. Other options may be possible as well. 
     Options 
     Are not included in this main program, but can be added later. 
     Independent functions 
     Create independent functions that can be put in a library, i.e. not be a real part of the main function, e.g.: 
     A distance function that calculates and/or finds the distance between 2 Zip codes/addresses or coordinated (GSM):Distance (X,Y) 
     They may be called from other functions. 
     It is appreciated that certain features of the invention, which are, for clarity, described in the context of separate embodiments, may also be provided in combination in a single embodiment. Conversely, various features of the invention which are, for brevity, described in the context of a single embodiment, may also be provided separately or in any suitable subcombinaton. 
     It will be appreciated by persons skilled in the art that the present invention is not limited to what had been particularly shown and described hereinabove. Rather the scope of the present invention is defined by the appended claims and includes both combinations and subcombinations of the various features described hereinabove as well as variations and modifications thereof which would occur to persons skilled in the art upon reading the foregoing description. 
     
       
         
               
               
               
               
               
             
           
               
                   
               
             
             
               
                 Egedt 
                 Brooklyn, NY 
                 4-5 pcs 
                 2 minutes MIN 
                 Yes 
               
               
                   
                 Queens, NY 
                 7-10 pcs 
                 30 minutes 
               
               
                   
                 Manhattan, NY 
                 10-2 pcs 
                 MAX 
               
               
                   
               
             
          
         
       
     
     
       
         
               
               
               
               
               
             
           
               
                   
               
               
                 Fully 
                   
                   
                   
                   
               
               
                 booked 
               
               
                 for 
                 e-mail for 
               
               
                 periods 
                 orders 
                 Address 
                 Contacts 
                 Tel/fax/email 
               
               
                   
               
             
             
               
                 9/12 
                 Order@egedt.com 
                 Broad- 
                 Moshe 
                 212-2163-385/387 
               
               
                 10- 
                   
                 way 12 
                 Catz 
                 moshe@egedt.com 
               
               
                 12.00 
                   
                 NY. 
               
               
                 10/12 
               
               
                 7.00- 
               
               
                 8.30 
               
               
                 11/12 
                   
                   
                 Jan 
                 212-2163-386/387 
               
               
                 9.30- 
                   
                   
                 Hein 
                 Jan@egedt.com 
               
               
                 11.00 
               
               
                 11/12 
               
               
                 15.00- 
               
               
                 16.45 
               
               
                   
               
             
          
         
       
     
     
       
         
               
               
               
             
           
               
                   
                   
               
             
             
               
                   
                 Bank 
                 Chase Manhattan 
               
               
                   
                 Account number 
                 145668787374 
               
               
                   
                   
               
             
          
         
       
     
     Way2gether enters details 
     This part allows way2gether to change the conditions from time to time. 
     The most important part will be to fix the constants of the pricing functions and the marking-up function. Additionally it may include the Sponsoring of some routes. 
     Customer enters details 
     This function should collect information from the customer. 
     This should include a description of the route and schedule he is interested in. 
     It will also include an indication how severe each requirement is. 
     Check if the details make sense 
     This function should debug the information entered by the customer. 
     If it doesn&#39;t make sense or is incomplete the customer should have an opportunity to correct and/or complete the details he entered. 
     Screen for available routes 
     Look for routes in “Routes2gether” that meet the customer requirements. Add these to his personal “Routes2offer” Matrix, within the defined tolerances. 
     If no routes in “Routes2gether” meets the requirements then: 
     Add at least one route close to the requirements to the “Routes2offer” Matrix 
     Create a temporary “custom” route exactly like the customer requested and add this to the “Routes2offer” Matrix. 
     Calculate 100% pricing 
     Calculate the pricing to offer this customer for all routes from his personal “Routes2offer” matrix. 
     Calculate&lt;100% pricing 
     Assume another passenger will join the same route. 
     Calculate pricing with this additional passenger 
     Calculate the chance2deal: The chance that indeed another passenger will join, using the proprietary “Chance2deal” function. 
     If the chance2deal remains high enough, this procedure can be repeated. 
     Add this offer with the pricing and chance2deal to the routes2offer matrix. 
     The customer selects from the Routes2offer 
     Show all the routes2offer with their details to the customer. These should include price and chance2deal. 
     The customer should be able to select one of the offered routes at one of the prices offered. 
     Collect personal information 
     This should include credit card or other paying information. 
     Update 
     Give the info of the new customer to the chauffeur for existing routes. 
     Update the Routes2gether file and other relevant files 
     Order 
     If the route didn&#39;t exist yet, look what will be the Preferred_supplier (Area). 
     Order the route at the preferred supplier 
     Follow up on order 
     Remind and/or cancel and order at another supplier, if the supplier does not acknowledge the order. 
     Once an acknowledgement of the order is received, update the Routes2gether file and other relevant files. 
     Confirm the order 
     If the customer chose a 100% offer this can be done immediately. 
     If not, the customer should get immediately info when he might get a confirmation. 
     His bid should be saved and update the routes2gether file accordingly. Once enough passengers join the bid, the customer will be confirmed automatically. 
     Bill the customer 
     Preferably by using his credit-card info. Other options may be possible as well. 
     Options 
     Are not included in this main program, but can be added later. 
     Independent functions 
     Create independent functions that can be put in a library, i.e. not be a real part of the main function, e.g.: 
     A distance function that calculates and/or finds the distance between 2 Zip codes/addresses or coordinates (GSM): Distance(X,Y) 
     They may be called from other functions. 
     It is appreciated that certain feature of the invention, which are, for clarity, described in the context of separate embodiments, may also be provided in combination in a single embodiment. Conversely, various features of the invention which are, for brevity, described in the context of a single embodiment, may also be provided separately or in any suitable subcombination. 
     It will be appreciated by persons skilled in the art that the present invention is not limited to what has been particularly shown and described hereinabove. Rather the scope of the present invention is defined by the appended claims and includes both combinations and subcombinations of the various features described hereinabove as well as variations and modifications thereof which would occur to persons skilled in the art upon reading the foregoing description.