INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO SUPPLY CHAINS: EFFECTIVE SOLUTIONS FOR BUSINESS PROCESS OPTIMIZATION

Guzal Belalova
Associate Professor of the Department of Artificial Intelligence
Tashkent State University of Economics,
Tashkent, Uzbekistan
email:[email protected]
ORCID: 0000-0003-4937-0814
Shukhrat Kamalov
Associate Professor of the Department of Artificial Intelligence
email:[email protected]
Tashkent State University of Economics,
Tashkent, Uzbekistan
ORCID:0000-0002-2595-9344
Timur Khairutdinov
1st year student of the program “Artificial Intelligence”
email:[email protected]
Tashkent State University of Economics,
Tashkent, Uzbekistan
JELClassification: M15, O32
Abstract. In the context of rapid technological development and growing global competition, the integration of artificial intelligence into supply chains is becoming an important tool for optimizing business processes. This article discusses key approaches and effective solutions that allow using artificial intelligence to increase transparency, reduce costs and improve the manageability of supply chains. Particular attention is paid to process automation, demand forecasting, inventory management and logistics. These technologies provide a higher level of customer service and speed up production processes. The presented findings are supported by examples of successful integration of AI in real business cases, which emphasizes the practical significance of this approach for increasing the competitiveness of organizations. The use of artificial intelligence has a transformative effect on logistics and supply chains, providing an opportunity for more flexible and adaptive management in the context of global changes. Prospects for its development suggest further automation and integration with new technologies, which will make supply chains even more efficient.
Keywords: Artificial intelligence, supply chain management, automation, demand forecasting, risk management, logistics optimization, digitalization.