How AI Is Revolutionizing Demand Planning in 2025
Traditional statistical forecasting is no longer enough. Discover how AI-powered demand sensing on Anaplan is helping enterprises reduce forecast error by 35% and cut safety stock by 20%.
Demand planning has always been part science, part art. But in 2025, the science is getting dramatically better thanks to AI and machine learning integration in platforms like Anaplan.
Traditional demand planning relies on historical time series and statistical models — methods that struggle with market disruptions, promotional impacts, and rapidly changing consumer behavior. AI-driven demand sensing changes this by incorporating real-time signals: web traffic, social sentiment, weather data, competitor pricing, and more.
At Cornorstone, we've deployed AI-enhanced demand planning models that combine Anaplan's planning engine with machine learning algorithms. The results speak for themselves:
- 35% improvement in forecast accuracy - 20% reduction in safety stock requirements - 45% reduction in lost sales from stockouts
The key insight? AI doesn't replace planners — it augments them. Our models provide AI-generated forecasts as a starting point, but demand planners retain full control to apply judgment, adjust for known events, and collaborate across functions.
The enterprises winning at demand planning in 2025 are those that have embraced this human-AI partnership model.
Atishey Jain
Founder & CEO, Cornorstone Consulting LLP
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