Description
Inventory optimization uses machine learning to determine the ideal inventory levels required to prevent both overstock and stockouts. By analyzing historical sales data, current stock levels, lead times, and market trends, AI models provide insights into when and how much to restock. This approach improves cash flow, reduces storage costs, and ensures products are available when needed.