Summary: AI demand forecasting helps FMCG companies improve accuracy, reduce waste, and optimize inventory by analyzing historical sales, real-time market signals, weather, promotions, and consumer behavior. Advanced models such as XGBoost, RNNs, and Transformers identify patterns and predict demand more effectively than traditional spreadsheets. Key benefits include fewer stockouts, lower excess inventory, and better supply chain planning. Success depends on clean, connected data, explainable AI, and gradual implementation. Companies that embrace AI forecasting gain a significant competitive advantage in low-margin, fast-moving markets.