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Mistral launches Timestral: probabilistic forecasting models for time-series data

Hackett models AI World Class supply chain gains: Not measured deployment results

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

Infor and AWS expand their collaboration to accelerate generative AI adoption

Renault outlines Supply Chain AI industrialization projects using Dataiku

Senior Service Parts Forecasting Manager

Applied Scientist, Worldwide Grocery Stores - Data and Science

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

Associate Director, Demand Planning & Purchasing

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

AI Developer

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

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

Demand & Inventory Planner – Food Import & Trading

Manager / Senior Manager, Supply Chain AI-Driven Planning Advisory

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

NOMINATION: o9 Solutions promotes Ashwin Rao to CTO as APEX becomes its AI planning bet

WARNING: Agentic AI supply chain software spend is projected to surge, raising governance pressure

Amazon moves demand forecasting from specialized models toward a reusable forecasting foundation model

Forecasting becomes more accessible with AI, but data still makes the difference

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

Ankur Gupta argues supply chain needs world models, not just agents

Manufacturing Forecasting Needs More Than a Better Algorithm

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

Forecasts Predict Demand; Demand Plans Translate It Into Action

Modern Demand Planning Requires Model Selection, External Signals and Governance

Why Forecast Accuracy Matters More Than AI Labels

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

GenAI lowers the automation threshold, but error economics determine what should be automated

Lokad’s vendor reviews expose the evidence gap in AI-first planning

Mid-market planning vendors are converging on the same AI narrative—but not the same architecture

AI Education Is Expanding Faster Than Supply Chain Governance

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

Building a browser-based IBP engine with Claude AI

AI Is Not Killing APS. It Is Repricing the Supply Chain Software Stack.

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

The AI-empowered supply-chain leader

Predictive inventory risk needs an operational fallback and a financial loss owner

AI-first planning vendors differ most in who owns the model

Is the Hybrid Expert the Future of APS and AI-Driven Supply Chain Projects?

Supply Chain Skills Are Becoming Decision Architecture Skills

Mapping the First Wave of Vibe-Coded Supply Chain Applications

The AI-First Supply Chain: Agents Will Not Create Value Without Decision Redesign

DataLeo sees demand planning roles shifting toward hybrid business-and-data profiles

Build a SKU-Location Demand Forecasting Pipeline with BigQuery ML

How to Compare Forecast Models Before Selecting One in AWS Supply Chain

How to Validate an AI Demand Forecast Before Planners Use It

frePPLe

DataRobot

Daybreak

Jedox

Meta Llama

Lokad

Infor Supply Chain Planning

Blue Yonder

SAP

Weights & Biases

EyeOn

Nicolas Vandeput

Chris Caplice

Joannes Vermorel

Guillaume Trécan

Samir Saci