CONTROLLING THE SALES OF SEASONAL MEDICINES IN MONITORING THE PHARMACY SYSTEM: ECONOMIC EFFICIENCY OF CONTROL BASED ON TRADITIONAL METHODS AND INTELLECTUAL SYSTEMS

Аннотация

This article examines methods for controlling the sale of seasonal medicines in the pharmacy system. The economic efficiency of traditional control methods and control mechanisms based on modern intelligent systems is compared. The results of the study showed that the use of intelligent systems significantly increases the efficiency of resource useand theability to optimizesales volumes. Kalit so‘zlar: Dorixona tizimi, mavsumiy dori vositalari, monitoring, intellektual tizimlar, iqtisodiy samaradorlik,sun'iy intellekt. Ключевые слова: Аптечная система, сезонные лекарства, мониторинг, интеллектуальныесистемы,экономическая эффективность,искусственныйинтеллект. Keywords: Pharmacy system, seasonal medicines, monitoring, intelligent systems, economic efficiency, artificial intelligence. 1.Introduction Sales of medicines in pharmacy chains are strongly influenced by seasonal changes. Especially during the flu and cold season, during the period of exacerbation of allergic reactions or during pandemics, the demand for medicines changes sharply. The inability of traditional control methods to respond to such changes in a timely and effective manner can lead touncertaintyin themanagement of stocks and sales inthepharmacy system. page1403 INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE ISSN:2692-5206,ImpactFactor:12,23 AmericanAcademicpublishers,volume05,issue04,2025 Journal: https://www.academicpublishers.org/journals/index.php/ijai Today, monitoring and forecasting mechanisms built on the basis of intelligent systems (artificial intelligence, machine learning, data mining technologies) show much higher economicefficiency than traditional methods. This article compares these two approaches and assesses their economic effectiveness for the pharmacy system. Relevance of the topic: Increased competition in the pharmaceutical sector, increased demand for health care among the population, and an increase in seasonal diseases are increasing the importance of effective management and control of medicines in pharmacies. Traditional monitoring methods do not meet the requirements in terms of speed and accuracy of information. Therefore, the introduction of sales monitoring technologies based on intelligent systems is becoming increasingly important. Such systems increase the economic efficiency of pharmacy operations, allow rational use of resources and provide high-quality customerservice. In particular, accurate forecasting and timely provision of demand for seasonal medicines is becoming a decisive factor in ensuring the stability of the healthcare system during pandemic and flu seasons. Therefore, studying the use of intelligent technologies in monitoring the pharmacy system and assessing their economic efficiency is extremely relevant from a practical and scientific pointofview. Research Objectives: The main objective of this study is to analyze traditional methods and control methods based on intelligent systems in monitoring the sales of seasonal medicines in thepharmacy system and to assess theireconomic efficiency. Also, one of the important tasks of the study is to identify opportunities for optimizing sales using intelligent systems, to show the advantages and disadvantages of existing methods, and todevelop recommendations forpractical application in thepharmaceutical industry. Element of scientific innovation: In this study, traditional and intelligent control methods for monitoring seasonal drug sales in the pharmacy system were systematically analyzed and theireconomicefficiency was compared. As a result of the study, a practical model was developed for predicting seasonal demand and optimizing sales processes in the pharmacy system using artificial intelligence and big data technologies. In addition, the possibilities of reducing operating costs and increasing profits in pharmacies through the introduction of intelligent systems in the sale of seasonal drugs were substantiated forthe firsttimewith specific economic indicators. 2.Literature review The literature studied on the topic of the study covers the issues of monitoring seasonal drug sales, optimizing economic processes in the pharmacy system, and implementing artificial intelligence technologies inpractice. The work "Information Systems in the Pharmaceutical Sector" (2022) by Ashurov M. considers the theoretical and practical aspects of using modern information technologies in pharmaceutical activities. This work provides important ideas on managing the flow of information when controlling thesale ofseasonal medicines. Karimov I.'s work "Economic Reforms and Development Strategy of Uzbekistan" (2015) covers the general principles of the economic development of Uzbekistan and serves as the mainsource forsubstantiating theeconomicefficiency part of theresearch topic. page1404 INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE ISSN:2692-5206,ImpactFactor:12,23 AmericanAcademicpublishers,volume05,issue04,2025 Journal: https://www.academicpublishers.org/journ