DEMAND FORECASTING AND INVENTORY MANAGEMENT FOR THE AUTO PARTS INDUSTRY: RELATIONSHIP WITH ODS 9, EFFICIENCY, AND INNOVATION

This article investigates demand forecasting tools and techniques applied to inventory management in the auto parts sector, with the aim of reducing costs and increasing competitiveness. The survey, carried out in a medium-sized company, highlights the use of tools such as the ABC Curve, point of order, periodic review of inventories and ERP systems, which help to optimize management and improve customer satisfaction. Integration with suppliers and the use of technologies such as IoT and Artificial Intelligence are pointed out as additional resources to further improve efficiency. It is concluded that companies that adopt demand forecasting practices become more competitive, reducing costs and expanding their market share.