How to Meet Unconstrained Demand in a Constrained World, Part 2

By Chris Lauchner & Geoff Shive

Part two of this series highlights how AI and advanced technologies are transforming demand planning for CPG companies, helping them tackle the challenges of managing unconstrained demand. By leveraging predictive analytics, real-time demand monitoring and AI-driven insights, brands can forecast demand more accurately, optimize inventory levels and reduce excess stock.

Key AI use cases include real-time sales tracking, segmentation for personalized marketing, scenario planning for product launches or pricing changes and optimizing inventory replenishment to avoid stockouts or overproduction. These innovations help CPG companies improve customer satisfaction, increase market share and enhance operational efficiency.

With AI automating routine demand adjustments and synchronizing supply chain operations, companies can respond faster to market fluctuations, minimize inefficiencies and drive growth. This cutting-edge approach positions CPG businesses to thrive by meeting demand effectively, even in unpredictable markets.