ТЕОРЕТИЧНІ ЗАСАДИ УПРАВЛІННЯ ТОВАРНИМИ ЗАПАСАМИ ПІДПРИЄМСТВА

Inventory management is a key aspect of an enterprise’s effective operations, affecting its financial performance, customer service level, and competitiveness. Optimizing inventory levels helps ensure business continuity, minimize storage costs, and avoid risks associated with delivery delays or excess inventory. The article discusses the main aspects of inventory management, including demand forecasting, determining the economic order size, establishing a safe stock level, and using modern automation technologies. Particular attention is paid to the problems that arise during inventory management, such as demand fluctuations, supply instability, and high storage costs. Tools based on enterprise resource planning (ERP) and warehouse management systems (WMS) are proposed to solve them. These technologies provide timely inventory monitoring, order process automation, and supply chain optimization. The article also emphasizes the role of cooperation with suppliers and the creation of long-term partnerships to reduce risks associated with supply disruptions. Key indicators of inventory management effectiveness are considered, including inventory turnover, storage costs, and customer satisfaction. Thus, the article covers both traditional and innovative approaches to inventory management aimed at ensuring the long-term success of enterprises in a dynamic market environment. One of the promising areas of improvement of the inventory management system is the auto-order system, which is based on artificial intelligence and machine learning technology for demand forecasting and procurement optimization. The use of such technologies will reduce the level of uncertainty during inventory management and ensure the accuracy of forecasts, which will increase the efficiency of logistics processes. Inventory management automation can help reduce costs and improve overall enterprise productivity.