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

MIT and Mecalux advance AI-powered warehouse slotting optimisation

Vekia reinforces automatic replenishment as a concrete AI planning use case for retail

Wipak selects RELEX for connected demand, inventory and production planning

Mio uses RELEX AI diagnostics to improve proactive retail planning

Argentina's Vantegrate launches Trazzo for AI-powered last-mile delivery planning

Transportation leaders expect autonomous agents to reshape TMS operations

Architect, Machine Learning (Principal Scientist)

Machine Learning Engineer - Global Sourcing & Supply Management (GSSM) Solutions

Staff Software Developer — Machine Learning

Applied Scientist, Supply Chain Optimization Technologies (SCOT) - Specialized Selection

Data Architect, AI and Supply Chain Insights

Applied AI/ML Software Engineer — Supply Chain AI and Decision Intelligence

Applied Scientist, Worldwide Grocery Stores - Data and Science

AI and Data Analytics Intern

Data & BI Junior Project Manager Intern — Softgoods R&D

Algorithm Engineer Graduate — TikTok Shop Global E-Commerce, Supply Chain and Logistics

Sr Applied Scientist, Amazon Supply Chain (Job ID 10488022)

Data Science Analyst

AI Supply Chain Consultant

Supply Chain AI and Data Science Lead

Revenue AI Solutions Analyst

AI Developer

Lead Data Scientist - Supply Chain Network Planning Design (applied ML) | Target (R0000476520)

Lead Product Manager — Supply Chain AI

AI Portfolio Lead H/F

Lead Agentic AI Engineer

Senior Manager, Data Science - Network Optimization - Walmart

Applied Scientist, Execution Planning Science & Engineering, Amazon (10562813)

Data and Controls Engineer

Senior Applied Data Scientist – Item Recommendations

Founding GTM / Growth Opportunity at Centrum AI (Supply Chain Intelligence Platform)

AI Data Engineering Manager, GPSC Insights Engineering - General Motors

Supply Chain Planning and Operations (SCPO) AI Lead - Intel

Principal Data Scientist - Agentic AI Systems Engineering and Model Post-Training

Distinguished Data Scientist - Agentic AI Systems Engineering and Model Post-Training

e.l.f. Beauty recruits an AI Product Owner for Intelligent Operations

RISK: Open Machine-Learning Models Create an Uncontrolled AI Supply Chain

EVENT: MIT CTL AI-driven Supply Chain programme opens

EVENT: Advanced demand-planning and forecasting programme opens

EVENT: IBF AI Edge focuses on supply-chain planning and forecasting

EVENT: MIT session moves supply-chain AI discussion from analytics to agentic decision-making

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

Machine learning is changing demand planning, but humans still matter

Nicolas Vandeput on machine learning, inventory simulation and planner roles

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

Using confirmed future orders to improve chemical demand forecasting

Retail demand forecasting across promotions, shortages and new products

Demand Forecasting in an Era of Disruption: What Actually Works

Modern Demand Planning Requires Model Selection, External Signals and Governance

From Forecast Accuracy to Connected AI-Assisted Planning in CPG

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

LogiPharma: AI and machine learning rise among pharma supply-chain investment priorities

AI Education Is Expanding Faster Than Supply Chain Governance

PepsiCo documents AI-driven pricing and promotion optimization at scale

Model Literacy Matters Only When Planning Decisions Are Governed

AI Skills Are Not Enough If Decision Ownership Is Unclear

Lora Cecere warns against the AI spin cycle in supply chain planning

AI orchestration in demand-supply networks: what breaks first?

AI-driven resilience depends on better decisions, not faster automation alone

What Agent Washing Means for Supply Chain Planning Governance

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

The People Paradox: Why supply chain AI readiness cannot be measured by training alone

Why o9’s knowledge graph matters as supply-chain decision architecture

o9, Kinaxis, OMP and Anaplan: Four Different Visions for AI-Driven Supply Chain Planning

From Bots to Agentic Supply Chains: Why the Next Competitive Advantage Will Be Decision Augmentation, Not Full Automation

Planning productivity claims double-count the same planner minute

22 practical Data Science projects for Supply Chain teams

Build a SKU-Location Demand Forecasting Pipeline with BigQuery ML

How to Validate an AI Demand Forecast Before Planners Use It

DataRobot

Arize AI

Amazon Web Services

Vekia

Google

Weights & Biases

C3 AI Supply Chain Suite

Infor Supply Chain Planning

RELEX Solutions

Blue Yonder

Pigment

MIT Data Science Lab

Nicolas Vandeput

Edmund Zagorin

Samir Saci