Customer Classification Method Based On Bp Network Study

The customer is one of the most important resources of an enterprise. The competition between enterprises focuses on customers. Whether an enterprise holds a customer depends on the state of the relationship between the enterprise and the customer. To improve on the relationship with the customer, an enterprise must carry out customer relationship management (CRM) .Customer analysis is the basis of CRM and customer classification is an important item of customer analysis. But there is not any efficient customer classification method at present. The paper firstly introduces CRM, BP ANN (Artificial Neural Network) and the traditional methods of customer classification, then studies the customer-classification method according to customers' value and improves on the existing customer value model. Subsequently, applying the BP ANN to customer classification, the paper puts forward the customer classification method based on BP ANN. In the end, the paper introduces a CRM system developed by the author during the past year.