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US Defense Logistics Agency applies Nicolas Vandeput’s demand-forecasting framework

Alain Matar and SupChains collaborate on a planner-facing forecasting application

EVENT: How I vibe-coded my Advanced Planning System

Nicolas Vandeput on machine learning, inventory simulation and planner roles

AI-built planning applications collapse development time, not planning complexity

AI agents should enrich forecasts only with information the model cannot see

Outgrowing the classical safety-stock formula

Forecast Value Added Turns Planner Overrides into a Measurable Governance Process

Why cumulative and lag-one forecasts matter for inventory decisions

Forecast variability: when human enrichment destabilizes planning

Machine learning is changing demand planning, but humans still matter

Lessons from VN2, the first global inventory-planning competition

Initial versus current requested delivery dates in demand planning

Using confirmed future orders to improve chemical demand forecasting

Retail demand forecasting across promotions, shortages and new products

Machine-learning forecasting with promotions, prices, sell-outs and inventory

Why Flat Forecasts Can Outperform More Plausible-Looking Plans

Nicolas Vandeput