Source: https://patents.google.com/patent/US20120203611A1/en
Timestamp: 2019-06-15 22:54:43
Document Index: 787760730

Matched Legal Cases: ['application No. 60', 'application No. 60', 'application No. 60', 'application No. 60', 'application No. 60', 'application No. 60', 'application No. 60', 'application No. 60', 'application No. 60', 'application No. 60', 'application No. 60']

US20120203611A1 - Discounted Pricing - Google Patents
Discounted Pricing Download PDF
US20120203611A1
US20120203611A1 US13/449,658 US201213449658A US2012203611A1 US 20120203611 A1 US20120203611 A1 US 20120203611A1 US 201213449658 A US201213449658 A US 201213449658A US 2012203611 A1 US2012203611 A1 US 2012203611A1
US13/449,658
1999-05-12 Priority to US13376999P priority Critical
1999-06-03 Priority to US32439199A priority
1999-06-04 Priority to US13758399P priority
1999-06-09 Priority to US13820999P priority
1999-06-16 Priority to US13951899P priority
1999-06-16 Priority to US13933899P priority
1999-06-16 Priority to US13951999P priority
1999-07-06 Priority to US14237199P priority
1999-10-20 Priority to US16051099P priority
1999-10-22 Priority to US09/426,063 priority patent/US7818212B1/en
1999-10-28 Priority to US16218299P priority
1999-12-28 Priority to US17340999P priority
2000-05-03 Priority to PCT/US2000/011989 priority patent/WO2000070424A2/en
2000-10-02 Priority to US23747400P priority
2001-08-06 Priority to US09/922,884 priority patent/US8290824B1/en
2011-11-09 Priority to US13/292,971 priority patent/US20120054012A1/en
2012-04-18 Priority to US13/449,658 priority patent/US20120203611A1/en
2012-04-18 Application filed by eWinWin Inc filed Critical eWinWin Inc
2012-08-09 Publication of US20120203611A1 publication Critical patent/US20120203611A1/en
2014-06-10 Assigned to EWINWIN, INC. reassignment EWINWIN, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: MESAROS, GREGORY J.
2017-05-12 Assigned to MESAROS, GREG reassignment MESAROS, GREG ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: EWINWIN
2017-05-18 Assigned to VALENTINE COMMUNICATIONS LLC reassignment VALENTINE COMMUNICATIONS LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: MESAROS, GREG
This application is a continuation and claims the priority benefit of U.S. patent application Ser. No. 13/292,971, filed Nov. 9, 2011, and entitled E-COMMERCE VOLUME PRICING, which is a continuation and claims the priority benefit of U.S. patent application Ser. No. 09/922,884, filed Aug. 6, 2001, and entitled E-COMMERCE VOLUME PRICING, which:
(1) is a continuation-in-part and claims the priority benefit of U.S. patent application Ser. No. 09/324,391, filed Jun. 3, 1999, and entitled E-COMMERCE VOLUME PRICING, which claims priority to U.S. provisional application No. 60/133,769, filed May 12, 1999, and entitled E-COMMERCE VOLUME PRICING;
(2) is a continuation-in-part and claims the priority benefit of U.S. patent application Ser. No. 09/426,063, filed Oct. 22, 1999, and entitled MULTIPLE CRITERIA BUYING AND SELLING MODEL, now U.S. Pat. No. 7,818,212;
(3) is a continuation-in-part and claims the priority benefit of P.C.T. patent application number PCT/US00/11989, filed May 3, 2000, and entitled MULTIPLE CRITERIA BUYING AND SELLING MODEL, AND SYSTEM FOR MANAGING OPEN OFFER SHEETS, which claims priority to: U.S. provisional application No. 60/137,583, filed Jun. 4, 1999, and entitled E-COMMERCE AUTOMATED SELLER SELECTION SYSTEM; U.S. provisional application No. 60/138,209, filed Jun. 9, 1999, and entitled SECURITIZATION OF ACCOUNTS RECEIVABLE; U.S. provisional application No. 60/139,338, filed Jun. 16, 1999, and entitled REAL-TIME OPTIMIZED BUYING BLOCK; U.S. provisional application No. 60/139,518, filed Jun. 16, 1999, and entitled REAL-TIME MARKET PURCHASING; U.S. provisional application No. 60/139,519, filed Jun. 16, 1999, and entitled E-COMMERCE PURCHASING CARD; U.S. patent application Ser. No. 09/342,345, filed Jun. 29, 1999, and entitled CREDIT BASED TRANSACTION SYSTEM AND METHODOLOGY; U.S. provisional application No. 60/142,371, filed Jul. 6, 1999, and entitled TIME VALUE OF MONEY BASED CREDIT CARD FOR MERCHANT; U.S. provisional application No. 60/160,510, filed Oct. 20, 1999, and entitled MULTIPLE CRITERIA BUYING AND SELLING MODEL, AND SYSTEM FOR MANAGING OPEN OFFER SHEETS; U.S. patent application Ser. No. 09/426,063, filed Oct. 22, 1999, and entitled MULTIPLE CRITERIA BUYING AND SELLING MODEL, now U.S. Pat. No. 7,818,212; U.S. provisional application No. 60/162,182, filed Oct. 28, 1999, and entitled MULTIPLE CRITERIA BUYING AND SELLING MODEL, AND SYSTEM FOR MANAGING OPEN OFFER SHEETS; and U.S. provisional application No. 60/173,409, filed Dec. 28, 1999, and entitled MULTIPLE CRITERIA BUYING AND SELLING MODEL, AND SYSTEM FOR MANAGING OPEN OFFER SHEETS; and
(4) claims priority to U.S. provisional application No. 60/237,474, filed Oct. 2, 2000, and entitled MULTIPLE CRITERIA BUYING AND SELLING MODEL, AND SYSTEM FOR MANAGING OPEN OFFER SHEETS.
The fifth module is a messaging module, which allows various module functions to be invoked by the user interface and/or remote integrated systems. The messaging functionality may also be embedded into other modules. The sixth module is a terms and conditions module, which manages agreements between parties involved in each transaction, such as the terms and conditions agreed to between buyer and seller, buyer and system administrator, seller and system administrator, etc. The seventh module is a blanket pricing module. This module manages agreements between buyers and sellers as 5 to product prices. The eighth module, a product relationships module, allows sellers to create relationships between related products. The ninth module is a logistics module, which allows for the management of the product shipment. A RFQ/RFO/RFP module manages quote, offer, and product requests. The eleventh module is an invoicing module, which manages administrative functions, such as record keeping, invoicing, credit checks, etc. Finally, an agents module is used to automate routine tasks and/or to provide decision support and guidelines.
Furthermore, buyers within an aggregate group can be subject to different pricing structures, or price curves, for the same product. For example, a seller can access information about the buyers past purchasing history, such as the number or percentage of cancelled orders, on-time payments, and/or the number of orders the particular buyer has placed through the system. This information can be viewed in terms of the buyer's history with that particular seller, all sellers, that particular product or product category, or all products. Based on these criteria, a ranking is assigned to the buyer either manually or by default criteria set by the seller. This ranking can then determine the pricing structure that the buyer receives for a particular product. For instance, a buyer with a 100% rate of taking receipt of all orders online and 100% of paying within 30 days would be assigned a high ranking of AA. When this buyer returned to the site and entered a password, the AA rating would be denoted and a certain pricing structure would be made available to that buyer for placing an aggregate order. Likewise, a buyer with a low CC ranking could see a pricing structure with a 5% premium, simply based on their password 15 and past performance. Additionally, a buyer can be grouped into a specific pricing structure according to the buyer's current or historical product volume consumption. Generally, a buyer within an aggregate group will only have access to view the pricing structures applicable that individual buyer, and not to other buyers within the same group. Movement between groups is possible for individual buyers upon achieving different ratings and/or volume consumption.
The product categories menu 155 can also link the user to a catalog (not shown). The catalog can be viewed and arranged by product type, by seller, and/or by pricing. Sellers have the option of blocking access to any or all of their product listings from specified system users. Sellers can also create custom templates for ease of adding a new 25 product listing. A default template is also available by the system host for this purpose. The product listings in the catalog contain details about each product, including the manufacturer/distributor, default pricing and/or price curve, any available options and/or customizations, minimum order quantities, ship terms and links to related products. The catalog can also be accessed through alternate means, such as the search function, the favorites menu, the user's homepage, etc.
An example of a product details web page 260 is shown in FIG. 6. Here an image of the product 265 is shown along with details 270 that can be important to a buyer when determining whether to purchase the product. Included in these product details 270 are: the name of the seller, with a hyperlink 275 to a seller details page (not shown); the name 5 of the manufacturer, if different from the seller, with a hyperlink 280 to a manufacturer details page (not shown); unit description 285 (e.g., pieces, feet, inches); and a description of the product 290, which can include details not readily apparent by the image shown. The seller details page and the manufacturer details page can include information such as: the name, address, and contact information of the seller and/or manufacturer; other products available by the seller and/or manufacturer; feedback from other buyers and/or sellers; and any open offers currently available from the seller and/or manufacturer. Also included on the product details page is a ‘View Open Offers’ hyperlink 295 to view offer details of any open offers for the product and a ‘View History’ hyperlink 300 to product history web page (not shown). The product history page can show details and/or summaries of the product history, such as, when the product was introduced to the system, how many times the product has been ordered in the past, on what dates, and in what quantities, the average cost of the past orders, how many buyers participated in the offers, and when the next open offer is anticipated. A ‘Create RFQ/RFO’ hyperlink 305 is provided to direct buyers to a page, which will allow them to 20 request a quote or offer for the product in the event that there are no open offers for a product or the current open offers do not meet the buyer's needs (e.g., shipping date, quantity, options).
Turning now to FIG. 7, in accordance with one aspect of the present invention, deal rooms are set up in which buyers are able to view the details of an open offer and order products in connection with the open offer. The deal room includes the product name 315 and a hyperlink 320 to the product details web page. Also included in the deal room is an offer details section 325, which contains information such as: the offer number; the seller, with a hyperlink to the seller details page; the ship date or ship date range; the ship terms; quantity available; quantity sold; quantity on hold; minimum order quantity; ship increments; offer open date; offer close date; and any other additional information given by the seller. The minimum order quantity can be fixed or it can change with the current ordered volume against an offer. The pricing for this offer is displayed in both a graphical format 330 and a table format 335. The current price 340 for the product, based upon the quantity of parts currently on order, is shown in real time. The current price is based on a base product without any custom options. If options are available for the product, they will be shown in an options section 345. In this example, options for product size and product color are offered. Any price increase or decrease is shown with respect to each option. For example, if the product has a standard blue coating, the option to have a yellow coating increases the cost to the buyer by $2 per 1000 pieces. However, if the buyer opts to order the product without any coating, the 10 cost decreases by $8 per 1000 pieces. Thus, a seller could configure the deal room to show different price curves for each of the different product options. Furthermore, different deal rooms for the same product can be configured to provide different available options for the different buying groups.
Messages can be sent through email, fax, mobile devices, instant messages, bulletin boards, and/or through a user's homepage. An example of a user's homepage 450 is shown in FIG. 14. The page 450 includes a seller section 455 where the user selects what information he would like to see about a seller, for example, total product offerings, product offerings within a specific category, and any open offers. A product categories section 460 can also be included on the web page. Here, a user can see whether any products or product categories that have been added, modified, or deleted in the system. The user's homepage 450 also includes a news section 465 in which the user can view news headlines and/or market conditions in any specified industries. This section can also inform the user about what has changed on the system since the user was last logged on. For example, the user can see any new buyers and/or sellers that have joined the system, any new offers that have been opened in his area of interest, and any changes that have occurred in the user's own open offers. The homepage 450 can be configured to allow the user to monitor all open offers in which he/she is participating 470 and/or all open offers in which he/she has selected to watch 475. The web page also contains a search field 480, which enables the user to search the system for information, such as a particular seller, buyer, product, or offer. For example, a buyer can search for 10 all open offers which meet the buyer's criteria. The results can be arranged in order of cost, shipping date, offer close date, etc. A hyperlink 485 is provided to the user's account information page (not shown). The account information page allows the user to view and/or modify passwords, shipping and billing addresses, methods of payment, etc. Another hyperlink 490 is provided to the user's history page (not shown). Here the user can view all past orders, RFQs, RFOs, RFPs, etc. It is to be appreciated that this is just one example of a homepage and that many variations can exist since each homepage is customized to provide information relevant to the particular user.
Blanket prices can be specified as a percentage or as a specified dollar amount to be discounted from the final price. Sellers can also use stepped blanket pricing. This allows the sellers to provide the buyers with a pricing sheet that details changes in the blanket prices with order quantity and/or time. The system has the ability to recommended pricing strategies for sellers to construct better blanket pricing. These strategies include calculation routines that use a maximum discount percentage, or fixed cost, to create a step structure such that when the buyer has purchased the required amount, the average price per unit is at the desired level. For example, a seller could offer a blanket price of $15/unit with a commitment of 5000 units. Rather than assuming that the purchasing commitment will be met, the seller could structure the pricing as $20 for the first 2000 units, $18 for the next 1000 units, and finally, $8.50 for the remaining 2000 units. Thus, if the buyer purchases the entire lot, the average price of $15/unit is attained; otherwise the buyer simply receives a tiered discount.
1. A non-transitory computer readable storage medium having embodied thereon a program, the program being executable by a processor to perform a method for providing a discounted deal, the method comprising:
presenting at least one offer for an item for sale at a discounted price to at least one potential buyer for a finite period of time, wherein details about the offer and information regarding a supplier of the item are presented before receiving an order from the at least one potential buyer;
storing a selection of a category type or a supplier of interest for the offer at the discounted price, wherein the at least one potential buyer receives updates for subsequent deals based at least in part on the stored selection;
providing at least one buyer with the option to receive an additional discount that reduces the price of the at least one deal; and
analyzing buyer searches for deals.
2. The non-transitory computer readable storage medium of claim 1, the method further comprising recording historical data derived from user input.
3. The non-transitory computer readable storage medium of claim 2, wherein the historical data is used to provide a recommendation.
4. The non-transitory computer readable storage medium of claim 3, wherein the recommendation is provided to at least one buyer.
5. The non-transitory computer readable storage medium of claim 4, wherein the recommendation is provided to at least one supplier and seller.
6. The non-transitory computer readable storage medium of claim 5, wherein the recommendation influences at least one aspect of an existing offer or the creation of a new offer.
7. The non-transitory computer readable storage medium of claim 5, wherein the recommendation is a time, option or price associated with an offer.
8. The non-transitory computer readable storage medium of claim 1, the method further comprising generating a customized offer based on the historical data.
9. The non-transitory computer readable storage medium of claim 1, the method further comprising generating a customized offer.
10. The non-transitory computer readable storage medium of claim 1, the method further comprising storing past orders to a buyer profile and presenting new offers based, at least in part, on the past orders.
11. The non-transitory computer readable storage medium of claim 1, the method further comprising associating content with products, categories, offers or access points.
12. The non-transitory computer readable storage medium of claim 1, the method further comprising automatically processing the addition or removal of content.
13. The non-transitory computer readable storage medium of claim 1, further comprising associating a location with the at least one potential buyer.
14. A method for providing a discounted deal, the method comprising:
provide at least one buyer with an additional discount that reduces the price of at least one deal; and
15. The method of claim 13, the method further comprising recording historical data based on user input.
16. The method of claim 15, further comprising generating a recommendation based on the historical data, and wherein the recommendations are provided to a buyer.
17. The method of claim 15, further comprising generating recommendations based on the historical data, and wherein the recommendations are provided to sellers.
18. The method of claim 15, the method comprising generating a customized offer based on the historical data.
19. The method of claim 18, wherein the customized offer is generated by a buyer or seller.
20. The method of claim 14, the method further comprising analyzing user placed orders.
21. A system for providing a discounted deal, the system comprising:
a first module stored in the memory and executable by the processor to present at least one offer for sale for an item at a discounted price to at least one potential buyer for a finite period of time, wherein details about the offer and information regarding a supplier of the item are presented before receiving an order from the at least one potential buyer;
a second module stored in the memory and executable by the processor to store a selection of a category type or a supplier of interest for the offer at the discounted price, wherein the at least one potential buyer receives updates for subsequent deals based at least in part on the stored selection;
a third module stored in the memory and executable by the processor to provide at least one buyer with an additional discount that reduces the price of at least one deal; and,
a fourth module stored in the memory and executable by the processor to analyze buyer searches for deals.
22. The system of claim 21, further comprising a module executable to record the price at which a buyer orders a particular product.
23. The system of claim 21, further comprising a module executable to record historical data based on user input.
24. The system of claim 23, historical data is used to provide a recommendation.
25. The system of claim 24, wherein the recommendation is provided to at least one buyer.
26. The system of claim 24, wherein the recommendations are provided to sellers.
27. The system of claim 21, further comprising a module stored in memory and executable by a processor to generate a customized offer based on historical data.
28. The system of claim 21, wherein the customized offer is generated by a buyer or seller.
29. The system of claim 21, further comprising a module to analyze the user placed orders.
30. The system of claim 21, further comprising a module to associate content with products, categories, offers or access points.
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US13376999P true 1999-05-12 1999-05-12
US32439199A true 1999-06-03 1999-06-03
US13758399P true 1999-06-04 1999-06-04
US13820999P true 1999-06-09 1999-06-09
US13933899P true 1999-06-16 1999-06-16
US13951899P true 1999-06-16 1999-06-16
US13951999P true 1999-06-16 1999-06-16
US14237199P true 1999-07-06 1999-07-06
US16051099P true 1999-10-20 1999-10-20
US09/426,063 US7818212B1 (en) 1999-10-22 1999-10-22 Multiple criteria buying and selling model
US16218299P true 1999-10-28 1999-10-28
US17340999P true 1999-12-28 1999-12-28
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ID=45698404
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2014-11-14 STCB Information on status: application discontinuation
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:EWINWIN;REEL/FRAME:042357/0424
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:MESAROS, GREG;REEL/FRAME:042423/0296