Research And Design Of Electronic Commerce System In CRM Bank

In this paper, research and design e-commerce systems in the banking customer relationship management system is researched and designed based on the systems engineering, economics, game theory and computer-aided decision-making. The main work includes:1. The significance of customer relationship management under the electronic commerce environment is showed; And combined with the characteristics of e-banking, the relationship between the e-commerce and commercial banks are given, this results further elaborated the effectiveness of e-commerce systems Customer Relationship Management.2. The evaluation index system of commercial bank customer relationship management is established. And customer relationship management of commercial banks is analied from the marketing operation, telephone banking, Internet banking and services these three aspects, and then a hierarchical structure of commercial banks customer relationship management system evaluation index system is established, and the corresponding indicators expressions are given.3. Principles of e-commerce environment dynamic customer segmentation based on the index system construction is designed, and based on the customer value as the goal, four layers of dynamic customer segmentation index system is established from two aspects:the trading indicators and behavioral indicators, in which a total of16indicators index layer.4. Using the RBF neural network to create a dynamic customer segmentation model. Customer data within the enterprise is analied by the RBF neural network, companies can discover and predict the customer’s actual value and potential value for the enterprise develop appropriate marketing strategies.5. Model of Customer Value commerce environment classification is established by a method of squares of deviations. First, a questionnaire is desined to collect relevant information for structuring modeling data; Secondly, the total sample is divided into four categories by the use of squared deviations and France. Finally, the application of the Euclidean distance verify the reliability of the classification results. Experimental results show that the model can reasonably classify e-commerce environment customer value.