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.