Judge neural networks for multi-channel retailing competition

With the development of online commerce, its becoming more and more important to deal with multi-channel problem, especially when there is an e-channel. In this paper, we establish neural networks to describe customers´ decision process. Based on the neural networks, a new price setting game is proposed, which can simulate the competition in multichannel. Since the networks can reflect the real situation well, in simulation experiments, the game and neural networks have shown their ability of describing the multi-channel competition. This provides a powerful tool for retail companies´ decision making.