Example Concept: AI-driven forecasting uses machine learning algorithms to analyze patterns in historical sales data, external market trends, and seasonal fluctuations. This enables businesses to predict demand more accurately, optimize inventory levels, and reduce excess stock. By integrating AI forecasts into supply chain management systems, companies can automate reorder points, adjust procurement schedules, and improve supplier collaboration, leading to cost savings and increased efficiency.