Construction of Machine Learning-based Grid Marketing Service Analysis Model
State Grid Energy Internet Marketing service System (Marketing 2.0) is a new generation of power marketing service system independently developed by State Grid Corporation. The system takes the customer as the center, takes the market as the guidance, takes the digitalization, the network, the intelligence as the guidance, builds the platform system of omni-channel service and the whole business application. It serves the marketing personnel of power supply companies in provinces, cities and counties (districts) across the country, effectively promoting the digital transformation and high-quality development of the marketing business of the State Grid Corporation. Nanjing Nari Digital service Co.,Ltd. completed the design and development of 15 analysis models in accordance with the overall planning requirements of marketing 2.0, and realized the deep integration of digital construction and business needs. This paper introduces the model of customer payment prediction analysis, charge strategy adjustment analysis and charge recovery risk analysis based on machine learning algorithm. Through the integration of artificial intelligence technology, the system has achieved technological innovation, improved model accuracy and business accuracy, and promoted the construction, application and iterative upgrading of the platform.
Authors
- Q. WANG (ORCID: https://orcid.org/0000-0001-9643-8434)
- Jiajin Li (ORCID: https://orcid.org/0009-0002-3302-0684)
- Haiting Zhong (ORCID: https://orcid.org/0000-0001-5117-1801)
- Baolong Xuan
- Yuankui Ma (ORCID: https://orcid.org/0000-0002-5556-0633)
- Wei Lu (ORCID: https://orcid.org/0009-0002-3883-6578)
- Xiaozhi Wu (ORCID: https://orcid.org/0000-0001-5945-9025)
- Chengcheng Hao
Institutions
- NARI Group (China) (CN)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1145/3724154.3724167
- Primary Topic
- Technology and Security Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00