Proceedings of the 2025 5th International Conference on Enterprise Management and Economic Development (ICEMED 2025)

<Previous Article In Volume
Next Article In Volume>

Power Marketing Customer Service Method based on Credit Score

Authors
Chao Zhang1, *, Qirui Chen2, Jianing Xu2, Wei Zhang2, Ying Jiang2
1State Grid ZheJiang Province Co.Ltd DeQing Power Supply Company, Zhejiang, Huzhou, 313200, China
2State Grid Zhejiang Marketing Service Center, Zhejiang, Huzhou, 313200, China
*Corresponding author. Email: 943328208@qq.com
Corresponding Author
Chao Zhang
Available Online 14 August 2025.
DOI
10.2991/978-94-6463-811-0_61How to use a DOI?
Keywords
Electricity marketing; Credit score System; Machine Learning; Service Model
Abstract

Driven by both the global energy structure transformation and the digital wave, the customer service system in the power industry is undergoing profound changes. The traditional integrated and non-differentiated service model has become difficult to meet the diverse and personalized service demands of emerging customer groups. Based on this, this paper focuses on constructing a customer service method for power marketing with credit scores as the core driving force. Firstly, a credit score system covering multiple dimensions such as payment behavior, stability of electricity load, and green electricity consumption behavior was designed, thereby achieving precise modeling of customer stratification and profiling. Subsequently, a dynamic assessment of customer credit is implemented based on machine learning algorithms, and a differentiated service push mechanism that matches customer characteristics is constructed. At the system architecture level, this paper designs a three-layer collaborative system of data collection - analysis and decision-making - service application to support the efficient operation of the model.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2025 5th International Conference on Enterprise Management and Economic Development (ICEMED 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
14 August 2025
ISBN
978-94-6463-811-0
ISSN
2352-5428
DOI
10.2991/978-94-6463-811-0_61How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Chao Zhang
AU  - Qirui Chen
AU  - Jianing Xu
AU  - Wei Zhang
AU  - Ying Jiang
PY  - 2025
DA  - 2025/08/14
TI  - Power Marketing Customer Service Method based on Credit Score
BT  - Proceedings of the 2025 5th International Conference on Enterprise Management and Economic Development (ICEMED 2025)
PB  - Atlantis Press
SP  - 584
EP  - 594
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-811-0_61
DO  - 10.2991/978-94-6463-811-0_61
ID  - Zhang2025
ER  -