
AI learns from patterns in sales history, seasonality, promotions, and external signals to generate more accurate demand forecasts than traditional statistical methods. Machine learning models continuously improve as new data arrives, detecting correlations and trends that humans might miss. This leads to better inventory decisions, fewer stockouts, and reduced excess stock across the supply chain.