Game Theory and AI assisted optimization system for Telecom adverts and service promotion
| 1Department of Mathematics / Alvan Ikoku Federal University of Education Owerri, Imo State. 2,3,4,5,6Department of Computer Science / Alvan Ikoku Federal University of Education, Owerri, Imo State 7Department of Computer Science / Delta state Maritime Polytechnic, Burutu, Delta State. |
Abstract:
Background: This research work aimed to investigate the optimal maximization of resources using AI assisted algorithm for the two leading communication networks in the country (MTN and GLOBACOM) when advertising their products and services within the country. However, data were collected from the existing records of (MTN and GLOBACOM), other publications both in newspapers and the internet, and finally an oral interview with the managers. A model was formulated to determine an optimal resource allocation and the data collected were analyzed using the simplex method and duality theorem to obtain an optimum benefit for the two telecommunications. However a program was designed to monitor the advert and service promotions within districts. Finally, the result of the analysis showed that for optimum performance MTN should invest the NX they have in the advertisement only and nothing in service promotion. If it is done in this way, they will obtain an optimum benefit value of N(230) X million naira. Similarly, GLOBACOM should invest her NY only in service promotion and nothing in the advertisement. This will yield an optimum benefit value of N(390) Y million. Recommendations were made to help the companies function effectively.
Materials and Methods: Data for this study were obtained from multiple sources to ensure reliability and representativeness. These included: – Historical financial and operational records from MTN Nigeria and GLOBACOM Nigeria. – Published reports from newspapers, telecom regulatory bulletins, and online repositories.
– Oral interviews conducted with marketing and operations managers from both telecommunications companies.
Model Formulation.
Results: The simplex analysis revealed that MTN achieves maximum benefit when:- All available resources (NX) are allocated exclusively to advertisement, – Zero allocation is made to service promotion. Under this strategy, MTN obtains an optimum benefit of: This indicates that advertisement yields significantly higher marginal returns for MTN compared to service promotion.
Conclusion: This study demonstrates that game theory combined with AI‑assisted optimization provides a powerful framework for resource allocation in the telecommunications sector. The findings show that MTN maximizes its benefit by focusing entirely on advertisement, while GLOBACOM achieves optimal performance by concentrating on service promotion. The AI‑based monitoring system further enhances strategic planning by providing real‑time insights and predictive analytics. Implementing these optimized strategies can significantly improve operational efficiency, reduce unnecessary expenditure, and strengthen competitive positioning within the Nigerian telecom market.
Key Word: Game Theory; AI Optimization; Telecom Marketing; Resource Allocation; Simplex Method; Duality Theorem; MTN; GLOBACOM; Advertisement Strategy; Service Promotion; Machine Learning; Operations Research
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