AI-Powered Dynamic Billing Optimization: Personalized Plan Recommendations Through Generative Intelligence
This article examines the application of Generative AI (GenAI) to transform telecommunications billing systems from static models to dynamic, personalized solutions. The article explores how AI-human collaboration models analyze individual customer usage patterns to generate optimized billing recommendations in natural language, simulate usage scenarios, and deliver actionable insights. The article evaluates cloud-based AI services, data processing frameworks, and natural language generation technologies that enable these capabilities, while addressing implementation challenges related to privacy, bias, and system integration. Findings demonstrate significant improvements in customer retention, satisfaction, operational efficiency, and revenue management. The article concludes with an assessment of environmental and economic sustainability impacts, ethical considerations, research limitations, and practical recommendations for telecommunications providers implementing dynamic billing optimization solutions.
Authors
- Ashish Kumar (ORCID: https://orcid.org/0000-0003-3466-8845)
Institutions
- Film Independent (US)
Publication Details
- Journal
- International Journal of Computational and Experimental Science and Engineering
- Published
- 2025-09-27
- DOI
- https://doi.org/10.22399/ijcesen.3964
- Primary Topic
- Business Process Modeling and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00