The advent of machine learning (ML) has revolutionized various sectors, and inventory management is no exception. Traditionally, inventory management relied heavily on manual processes and basic forecasting techniques, which often led to inefficiencies and inaccuracies. However, with the integration of
The practice of demand forecasting has evolved significantly over the centuries, tracing its roots back to ancient civilizations where merchants relied on rudimentary methods to predict the needs of their customers. In these early days, traders would observe seasonal patterns