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

ReposiTrak moves Touchless Retail from launch to live DSD deployment

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

DENSO transforms global supply-chain operations with Oracle Fusion and embedded AI

ICQA Area Manager, Inventory Control and Quality Assurance

Demand Planner

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

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

REGULATION: CBP begins immediate voiding of inaccurate importer-of-record numbers

Forecast accuracy is an input, not the Supply Chain decision

Why cumulative and lag-one forecasts matter for inventory decisions

Warehouse-robot selection should start with operating conditions

Tillamook turns supply-chain planning into a growth engine

Lessons from VN2, the first global inventory-planning competition

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

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

Warehouse operators want AI, but adoption remains stuck at 11%

Orchestra’s Recovery Shows Why Inventory Reduction Is a Governance Problem

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

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

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

Tillamook turns supply-chain planning into a growth capability

Evaluating agentic AI for demand forecasting requires more than forecast accuracy

From Forecast Accuracy to Connected AI-Assisted Planning in CPG

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

EDI Data Freshness Is a Decision Constraint for AI-Driven Replenishment

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

LeanDNA argues that the next frontier of Supply Chain AI is smarter action, not better prediction

Digital supply chain value is moving from visibility to decision intelligence

Forecasts Predict Demand; Demand Plans Translate It Into Action

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

Modern Demand Planning Requires Model Selection, External Signals and Governance

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

AI Agents Need More Than Intelligence: Why Feedback Loops Will Define the Future of Supply Chain Decision-Making

Demand Forecasting in an Era of Disruption: What Actually Works

Sponsored insight: How AI is reshaping supply chain decision-making

Two Logistics Markets, One Responsiveness Challenge: The Planning-Control Implication

When AI gets supply-chain decisions wrong — and is sure that it is right

AI-Native Organizations Are Coming Faster Than Most Supply Chains Expect

How to validate an AI inventory use case before buying software

How to Validate an AI Demand Forecast Before Planners Use It

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

Scandit

Wiliot

MRPeasy

Vekia

Swisslog

Paula Rosenblum

Adde Jans

Nicolas Vandeput