Predictive Demand Forecasting
Built a demand forecasting system for a retail chain with 200+ locations. The model analyzes historical sales, weather data, local events, and economic indicators to predict SKU-level demand 4 weeks out. Reduced overstock by 34% and stockouts by 41%, saving $2.8M annually in inventory carrying costs.