Operation mode and practice method of group enterprise customer all-round management system

In order to solve the problem of the loss of orders for group enterprises, rationally develop the functions of the customer's all-round management system to improve the level of business operations. This paper studies the operating mode and practical methods of the omni-directional management system for group enterprise customers. The customer group is subdivided through the clustering algorithm in data mining technology. And established a combination model of BP neural network and support vector machine to predict the loss of orders. Based on the analysis results, formulate customer management system operation strategies. The analysis of the practical results shows that after applying the proposed operating model, the average customer conversion rate of the enterprise is 20.44%, and the average order loss rate is 9.24%. The significant increase in data indicates that the operating model of the customer comprehensive management system has practical significance.