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

Hanzehua Han; Zefeng Sun; Enlai Zhao; Xiangyang Li; Rongyu Yan

doi:10.1117/12.2635811

6 May 2022 Operation mode and practice method of group enterprise customer all-round management system

Hanzehua Han, Zefeng Sun, Enlai Zhao, Xiangyang Li, Rongyu Yan

Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 1225616 (2022) https://doi.org/10.1117/12.2635811
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China

Abstract

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.

Citation Download Citation

Hanzehua Han, Zefeng Sun, Enlai Zhao, Xiangyang Li, and Rongyu Yan "Operation mode and practice method of group enterprise customer all-round management system", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 1225616 (6 May 2022); https://doi.org/10.1117/12.2635811

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