АВС-ХУZ ANALYSIS IN THE ENTERPRISE INVENTORY MANAGEMENT SYSTEM

Abstract

The theoretical aspects of forming of the enterprise inventory management system are studied. Inventories account for a significant portion of a retailer's working capital. Therefore, effective inventory management is one of the key areas of commercial success in retail. An important goal of inventory management is to satisfy the needs of consumers for goods of the right assortment at an acceptable price-quality ratio. However, it is necessary to avoid overstocking warehouses, which can lead to slower turnover and increased inventory storage costs. Therefore, for goods that do not make a significant contribution to the company's income and at the same time are characterized by irregular demand, it is advisable to use the "just in time" supply system. It is determined that the inventory management system involves continuous work on studying the needs of consumers, their prompt satisfaction, provided that the enterprise's funds are used rationally and its profit is maximized under current conditions and in the future. The inventory management system should be flexible and balance the interests of stakeholders. The application of ABC-XYZ analysis in inventory logistics and the use of relevant strategies for different product groups and consumers allows companies to optimize their assortment, focusing on products that are in stable demand, and use warehouse space more efficiently. ABC-XYZ analysis provides a set of enterprise functions: logistics, marketing, financial and economic, and risk management. The article substantiates the feasibility of introducing an automated inventory management system based on artificial intelligence. This is necessary for more accurate forecasting, and the system works with large amounts of data in real time, to ensure the flexibility of inventory logistics, for more efficient allocation of enterprise resources, for system flexibility and prompt response to customer requests. The automated inventory management system generates requests for the supply of goods, identifies problem situations and offers the best ways to solve them.