Game Theory and AI assisted optimization system for Telecom adverts and service promotion

Authors: Achugamonu Pius Chukwuma, Uzoma Ozioma Peter, Ihim Kingsley Chukwunazom, Okorie Simon C., Nwachukwu Wisdom Ezechinyereugo, Alabi Sunday Adebayo, and Ozor Chidinma Chioma

Affiliation: Department of Mathematics and Department of Computer Science, Alvan Ikoku Federal University of Education, Owerri, Imo State, Nigeria^1,2,3,4,5,6;
Department of Computer Science, Delta State Maritime Polytechnic, Burutu, Delta State, Nigeria⁷

Article Type: Original Research Article

Publication: West African Journal of Industrial and Academic Research, Vol. 27, No. 1 (2026), pp. 25-44

Research Design: Optimization Modeling and Applied Operations Research Study

Evidence Type: Primary and Secondary Empirical Research

Keywords: Game Theory, AI Optimization, Telecom Marketing, Resource Allocation, Simplex Method, Duality Theorem, MTN, GLOBACOM, Advertisement Strategy, Service Promotion, Machine Learning, Operations Research

Abstract: This research investigated the optimal maximization of resources using an AI-assisted algorithm for two leading telecommunications networks in Nigeria, MTN and GLOBACOM, in advertising their products and services. Data were obtained from company records, newspaper and internet publications, and oral interviews with managers. A mathematical model was formulated to determine optimal resource allocation, and the data were analyzed using the simplex method and duality theorem. The study further designed a program to monitor advertising and service promotions across districts. Results revealed that MTN achieves maximum benefit when all available resources are invested exclusively in advertisement, yielding an optimum benefit value of N(230)X million, while GLOBACOM attains optimum performance by allocating resources solely to service promotion, yielding N(390)Y million. The study concludes that game theory integrated with AI-assisted optimization offers an effective framework for strategic decision-making, improving operational efficiency, reducing unnecessary expenditure, and strengthening competitiveness in the telecommunications industry.

Suggested Citation:
Achugamonu, P. C., Uzoma, O. P., Ihim, K. C., Okorie, S. C., Nwachukwu, W. E., Alabi, S. A., & Ozor, C. C. (2026). Game Theory and AI Assisted Optimization System for Telecom Adverts and Service Promotion. West African Journal of Industrial and Academic Research, 27(1)25-44.