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

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

Transportation leaders expect autonomous agents to reshape TMS operations

Nissin Foods moves from spreadsheet forecasting to integrated AI planning

Staff Software Developer — Machine Learning

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

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

AI and Data Analytics Intern

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

Data Science Analyst

AI Supply Chain Consultant

Revenue AI Solutions Analyst

Supply Chain AI and Data Science Lead

AI Developer

Lead Product Manager — Supply Chain AI

AI Portfolio Lead H/F

Lead Agentic AI Engineer

Data and Controls Engineer

Senior Applied Data Scientist – Item Recommendations

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

Consultancy — Supply Chain AI Specialist

Applied Scientist, Worldwide Grocery Stores Data and Science

Staff Data Scientist, AI/ML, Generative AI & Agentic Systems

Global Process Owner — Sales and Operations Planning

Executive Director, Cell Therapy Global Supply Chain Planning

Manager, Supply Planning

Supply Chain AI Lead — SCM

Supply Chain AI Lead — Procurement

Data & AI Consultant — Autonomous Supply Chain

Head of AI & Advanced Apps

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

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

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

AI Skills Are Not Enough If Decision Ownership Is Unclear

Model Literacy Matters Only When Planning Decisions Are Governed

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

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

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