Model to Increase Inventory Turnover in a Vehicle Dealership Through Economic Order Quantity, Winters Forecasting, Warehouse Management and Material Planning with a Sustainable Approach

Low inventory turnover in vehicle dealerships represents a critical issue that generates high operating costs due to prolonged storage, unit depreciation, and missed business opportunities. This scenario worsens with the emerging demands of the automotive market, such as the transition to electric vehicles, which require more agile, efficient, and sustainable inventory management. While previous efforts have focused on traditional inventory control techniques, these are insufficient in complex environments where traceability and digital planning are decisive. In this context, the present study aims to develop an improvement model to increase inventory turnover through the integration of tools such as Economic Order Quantity (EOQ), Winters forecasting, a Warehouse Management System (WMS), and Material Requirements Planning (MRP), under the Industry 4.0 and sustainability approach. The proposal seeks to systematize vehicle-level data, optimize inventory availability, and ensure efficient communication regarding the status and location of units. The model was validated in a real dealership through performance indicators, achieving an 85% increase in turnover, a 13% reduction in unplanned purchases, a 5% decrease in unregistered vehicles, and a 5% reduction in delivery delays due to stockouts. It is concluded that integrating emerging technologies with traditional methodologies significantly improves operational efficiency, offering a scalable and adaptable solution for other sectors with high inventory turnover.