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Odinaev R.N., Afzalshohi S.

The advertising strategy is one of the most important components of optimizing the bank's business processes. It directly affects the level of profit, demand for services and strengthening the position of a financial organization in the market. This paper discusses the use of linear programming problems to optimize the advertising budget of the bank.

To solve the problem of optimizing the bank's advertising budget, a mathematical model was proposed that determines the optimal distribution of the budget between advertising channels, maximizing the number of bank customers, subject to all restrictions. As a result of the experimental analysis, the effectiveness of this technique for optimizing the bank's advertising budget was proved.The main result of this work is the substantiation of the need to optimize the bank's advertising budget, as well as the development of a mathematical model for its implementation. The obtained results make it possible to increase the profitability of a financial institution, increase recognition and trust in the bank by customers.

Key words: mathematical model, advertising budget, advertising budget optimization, advertising profit, linear programming, simplex table, basic variables, basic plan, decisive element.

Information about the authors

Odinaev Raim Nazarovich – Tajik National University,

Doctor of Physical and Mathematical Sciences, Professor, Head of the Department of Mathematical and Computer Modeling.

Address: 734025, Dushanbe, Republic of Tajikistan, Rudaki Avenue 17. 

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it..

Afzalshohi Safarkhon - Bokhtar State University named after Nosiri Khusrav,

Assistant of the Department of Information Technologies and Methods of Teaching Computer Science.

Address: 735140, Bokhtar, Republic of Tajikistan, Aini street, 67.

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

REVIEWER: Shabozov M.Sh., Doctor of Physical and Mathematical Sciences,  Academician

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Article received: 19.09.2023

Approved after review: 19.02.2024

Accepted for publication: 25.04.2024