The thesis, carried out at Var Group S.p.A., examines the integration of two in-house solutions: Foresight, an AI platform for demand forecasting, and CPM (Corporate Performance Management) used for planning and performance management. Historically, the tools operated as separate systems, causing fragmented outcomes, and weak alignment between operational forecasts and economic and financial objectives. The research goal is to design an integrated architecture that connects AI-generated forecasts to CPM planning models, reducing manual activities and updating latency while enabling unified, cross-functional decision governance. The methodology combines a theoretical review of demand planning and AI forecasting techniques, an analysis of current market solutions, and the development of a unified data model enabling forecast-to-plan flows.