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SKU Science Brings AI-Based Demand Planning Projects to Supply Chain Event 2025

METRO applies AI planning to improve fresh-food availability and reduce waste

ICQA Area Manager, Inventory Control and Quality Assurance

AI Supply Chain Consultant

Demand Planner

EVENT: ISF 2026 brings forecasting research and practice together in Montreal

EVENT: IBF Examines AI Proof of Value in Forecasting and Demand Planning

EVENT: Hidden AI supply chain risks move into the planning governance agenda

Forecast accuracy is an input to the decision—not the business outcome

Forecast accuracy is an input, not the Supply Chain decision

Is MAPE Still the Right Forecast Accuracy Metric for Demand Planning?

Nucleus: CCH Tagetik customer cases report 98%+ forecast accuracy

Forecast Accuracy Is Not Enough: S&OP Must Measure Decision Latency

Building Supply Chain Resilience Beyond Forecast Accuracy

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

Forecast vs. actual: why protocol design breaks clinical supply plans

Why cumulative and lag-one forecasts matter for inventory decisions

Forecast overrides are a governance problem, not only a forecasting problem

Forecasts Predict Demand; Demand Plans Translate It Into Action

Why Forecast Accuracy Matters More Than AI Labels

Tillamook turns supply-chain planning into a growth engine

Spare-parts forecasting is a planning stress test for AI trust

Always-on demand forecasting changes the infrastructure assumptions behind planning AI

Forecast variability: when human enrichment destabilizes planning

From Forecast Accuracy to Connected AI-Assisted Planning in CPG

Google TimesFM reframes forecast model-building as a decision-architecture problem

Logility white paper reframes demand planning around AI, sensing and explainable forecasts

Manufacturing Forecasting Needs More Than a Better Algorithm

Using confirmed future orders to improve chemical demand forecasting

Demand planning AI should be measured by decision latency, not only forecast accuracy

Maria Villablanca reframes planning for 2026 around decision readiness rather than forecast accuracy

Modern Demand Planning Requires Model Selection, External Signals and Governance

Lessons from VN2, the first global inventory-planning competition

Erik Bush reframes the trillion-dollar inventory problem as an operating-model failure

Demand planning, supply planning and customer service may converge into one customer-facing role

Stress-testing an AI-built IBP engine across 2,736 SKUs and 10 plants

Ganacos Links Demand Planning Performance to Data Quality, Cross-Functional Ownership and Scenario Governance

Tillamook turns supply-chain planning into a growth capability

Build a Governed AI Forecast Review Workflow Before Connecting AI to Your Planning System

Supply Chain Outlier Detection 101: Build a simple demand-sensing review team with AI agents

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Adde Jans

Nicolas Vandeput