## 3 Analysis Model Proposal, Testing, and Results
### The Importance of Synchronising Stocks and Prices across Sales Channels
We can say that the total time saved is treated separately; thus, the total manual time is highlighted by the blue color and reflects the manual price adjustment for all products, and the total automatic time for adjustment by automation solutions is in orange, and the time saved is the ratio between manual and automatic and is in green. \begin{table}
\begin{tabular}{c} \hline \hline
**Generic Exposition of the Impact Created by Such a Model Applied in E-Commerce** \\ \hline \(T_{Total_{manual}}=1000\times 5=5000\) min \\ \(T_{Total_{automate}}=1000\times 0.1=1000\) min \\ \(T_{Save}=5000-100=4900\) min \\ \(C_{Total_{manual}}=1000\times 0.5=500\) USD \\ \(C_{Total_{automatic}}=1000\times 0.1=100\) USD \\ \(C_{Save}=500-100\times 400\) USD \\ \(S_{automate}=7+2=9\) \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Generic results by applying the model in e-commerce. We can say that customer satisfaction will also be taken into account, and this is weighed in the standard case without automation, or how to explain satisfaction with the manual operation; this is outlined in blue, and satisfaction with the operation of this procedure is outlined in orange. It can be seen that along with the degree of operationalization, there are two important factors that we adjust, those of time and cost, but what is not exposed and is extremely important is the reduction of the degree of human error in mapping prices by an operator. Therefore, it can be seen very clearly that this model exhibits a high degree of accuracy and offers significant benefits to those using synchronization and automation modules in the direction of e-commerce and beyond. This model has been tested on several clients whose online stores, within 5-6 months, have achieved considerable increases that exceeded 30%, all down to aspects related to the synchronization of prices and stocks. This aspect brings a high degree of satisfaction to the customer because they will know that the product exists and will reach them and that they were not deceived. Another aspect is that in terms of internal processes, it is much more beneficial for a company to know everything, including their stocks and prices, at the same time. Another way in which the presented model was applied and tested on the part of the clients refers to the way to expose, on the sales platforms, a solution for mediating delivery times. This is necessary because most of those who sell online use suppliers from various countries, and the products are not in stock in Romania. Customers must know the average delivery time; even if the products will arrive within 4-7 days from placing the order, it is important that the final beneficiary knows this aspect and that the delivery time is displayed on the platforms. Even the achievement of the average delivery is important in this entire e-commerce ecosystem. The logic of retaining virtual stocks or the introduction of virtual stocks based on the times contractually stipulated by suppliers represents another feature that can substantially scale online sales. We cannot neglect the aspect of the recommended products, which take on similar characteristics and particularities to the products searched for directly on the pages of online stores, which is an extremely important factor. There is a degree of change of mind among buyers that tends to be at 30-40% when it comes to the home decoration categories, IT and C, fashion, beauty, or telecommunications. These domains have multiple products, these being differentiated only by one characteristic, and that variation can produce a sale in the end. According to the tests carried out, under the conditions of using a solution dedicated to the automation of repetitive processes, an optimization of over 80% is obtained; more precisely, the processing of an order or an AWB takes less than 7 s, and around 15 s including listing them in order and preparing parcels for delivery.