Manhattan helped transform demand forecasting with its Hybrid AI-powered Manhattan Active® Supply Chain Planning solution, which blends traditional statistical models with advanced machine learning to deliver superior forecast accuracy. It dynamically adapts to complex, evolving demand patterns by integrating diverse internal and external data sources such as market trends, weather, and consumer behavior. This hybrid approach automates and optimizes forecasting, reduces stockouts, and enhances inventory management across multiple locations and channels, enabling retailers to respond agilely to market shifts.

Join for free to read