Demand-driven supply chains require more than data availability — they require using data to support real-time decisions. This article explores how analytics, system modeling, and digital twins enable operational supply chain control.

Supply chain performance rises when organizations shift from siloed optimization to system-wide planning, using AI to align production, logistics, and demand.

AI creates value in production planning by helping planners evaluate complex constraints, trade-offs, and scenarios—combining human expertise with AI-driven decision intelligence.