E-commerce negotiation based on intelligent agents and mathematical interpolation

The actual model of electronic commerce offers only exploring the price of products and the unique method to attract customer is to discount price or reduce the delivery date or good terms of the warranty. Then, the buyer has no way to negotiate the price by cons the seller has two possibilities: to sell or not to sell. This impacts negatively on its profits or makes them extremely limited. This paper aims to deliver a solution to this issue by introducing an automated negotiation in e-commerce platforms using intelligent agents and mathematical interpolation to reach a compromise between a seller and the buyer. To achieve this goal, we elaborate a negotiation model based on intelligent agents and mathematical interpolation. Thus and according to obtained results, our solution helps to resolve the conflict of interest and provide an optimal price meeting with the expectations of both the seller and the buyer.