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Runnings selects RELEX to unify forecasting, replenishment and retail planning

Almeera selects RELEX to unify forecasting, replenishment and space planning across Qatar

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

StockIQ launches Edison AI agent to connect planning signals with inventory decisions

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

Applied Scientist, Worldwide Grocery Stores - Data and Science

ICQA Area Manager, Inventory Control and Quality Assurance

AI Supply Chain Consultant

Demand Planner, Fluid Connector Group North America - Parker Hannifin

Demand Planner, HEYDUDE Digital Marketplaces - Crocs, Inc.

Demand Planner

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

EVENT: Algo webinar examines when supply chains should use forecast-driven push versus demand-driven pull

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

Evaluating agentic AI for demand forecasting requires more than forecast accuracy

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

Lyreco and RELEX: Reliable Forecasting Requires More Than an AI Planning Tool

From Forecast Accuracy to Connected AI-Assisted Planning in CPG

Retail planning beyond forecast accuracy: when inventory availability shapes marketing decisions

Demand Forecasting in an Era of Disruption: What Actually Works

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

Cisco's supply chain AI agents: Six hours saved per planner, but where is the operational value?

Modern Demand Planning Requires Model Selection, External Signals and Governance

Lessons from VN2, the first global inventory-planning competition

How to Validate an AI Demand Forecast Before Planners Use It

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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Nicolas Vandeput