An E-Commerce model based on a multi-agent technology

E-Commerce, based on the Internet spread, has changed very much, allowing us to realize every day a very huge number of transactions. A consequence of this it may be seen also in the business model used. The Customer-to-Business model is beginning to be used more often on the market. This paper presents a solution for this business model, solution that tries to overtake some of its disadvantages like to identify a group of clients without a communication between them, to select a product or service very close to the clients demand based on a multi-criteria analysis, to optimize the network traffic. The proposed solution is based on the multi-agent technology, a data mining algorithm and a communication algorithm for mobile agents. Finally, an implementation of synthetizing clients' preferences using a specific algorithm is shown for the case of an internet banking service provider.