AI-Powered Dynamic Billing Optimization: Personalized Plan Recommendations Through Generative Intelligence
DOI:
https://doi.org/10.22399/ijcesen.3964Keywords:
Generative AI, Telecommunications Billing, Customer Personalization, Usage Pattern Analysis, AI-Human CollaborationAbstract
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.
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Copyright (c) 2025 International Journal of Computational and Experimental Science and Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.
