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In companies, the logistics department regularly faces challenges related to discrepancies, stockouts, and inventory surpluses. The latter becomes especially critical in sectors such as fashion, particularly in footwear retail companies, as evidenced in the presented case study.
Inventory surpluses in these types of companies can turn into leftover stock due to prolonged storage. This situation occurs when, during the commercial life cycle of a product, the merchandise is not fully sold for various reasons.
These issues tend to worsen when the forecasted demand does not align with the actual demand, directly affecting the company’s cash flow by increasing storage costs and other expenses associated with maintaining surplus stock. To improve forecasting accuracy, it is proposed to select the appropriate method based on the sector and available data types. Additionally, to assess its effectiveness, it is suggested to employ a logistics-based storage cost approach, which, unlike traditional methods, allows for measuring and monitoring the impact of decisions regarding the quantity of merchandise purchased.
Both proposed methods will provide the company with key tools to optimize inventory management. Furthermore, they can be adapted to other types of businesses, adjusting them to the specific characteristics of demand, inventory, and the resources used in the storage process.