Multi-product pricing method based on the customer buying behavior

Through interaction with online consumers, e-commerce Web sites can gather data reflecting consumer preferences. The available data on consumer preferences together with sophisticated analytical tools enables companiespsila increases in profit through optimization of prices. We can study for the multi-product pricing problem based on this available data. Where, given consumer preferences among products, their budgets, and the order list of production, the goal is to set prices of multiple products from a single company, so as to maximize the overall revenue of the company. To address this problem, based on the customer-buying-behavior, a non-linear programming model of multi-product pricing was presented. The model was solved through genetic algorithms. Optimal solution of the given example shows that this model is effective for enterprises.