A product-set pricing approach based on price sequence matrix

Under electronic commerce circumstance, it is very urgent for modern enterprise to solve the problem how to meet customer´s individual demand. The availability of data on consumer profiles has opened new possibilities for companies to increase their revenue via data mining techniques. We study algorithms for the product-set pricing problem, where, given consumer preferences among products and the costs of production, the goal is to set prices of product-set, so as to maximize the overall revenue of the company. A price sequence matrix method is proposed to solve product-set pricing model, and an application to case study shows that the give method is effective.