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EcoVadis supplier-risk report exposes AI data-readiness gap

Oracle adds agentic applications for inventory, supplier and production decisions

Colombina standardizes ERP and IBP operations before activating AI agents

U.S. Army awards Rune Technologies a $99M contract for AI-powered predictive logistics

o9 frames Responsible AI as enterprise readiness for agentic planning

Exiger releases defense-industrial-base supply-chain AI report

Western Washington University moves JAGGAER procurement and contracts into production

CISCE showcases industrial AI across advanced-manufacturing value chains

SAP Labs India selects enterprise-AI and industrial-intelligence startups for its 2026 studio

Transportation leaders expect autonomous agents to reshape TMS operations

Kinaxis and Tosoh launch an AI-powered supply-chain transformation

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

Senior Planner — KSA

Project Manager — Slim4 Implementations

Senior Delivery Manager

Senior Manager — Delivery

Senior Supply Chain Implementation Consultant

Senior Implementation Consultant

Senior Supply Chain Consultant — SaaS Implementation

EVENT: SAP examines the data foundation required for agentic AI

EVENT: Sam Robinson promoted to VP, Procurement at CleanArc Data Centers

EVENT: ASCM and IBF Best of the Best S&OP Conference returns to Chicago in June 2026

EVENT: Reuters Supply Chain USA 2026 — Day Two

EVENT: Alain Matar to demonstrate a Claude-built IBP engine for GSCC

Manufacturing agent adoption is moving faster than data readiness

Manufacturing AI should be prioritized by operational value and readiness

Carrefour on ChatGPT shifts commerce readiness toward product data and fulfillment integration

Supply Chain Skills Are Becoming Decision Architecture Skills

A structured roadmap can make the supply-chain AI journey measurable

AI priorities in manufacturing: talent, operating model and data foundation come before agentic AI

Retail supply-chain AI is advancing faster than data and process unification

AI readiness is a planning-process question before it is a model question

Plan-for-every-part succeeds only when every parameter has an owner

Defence logistics resilience is a decision network, not contractor scale

AI adoption fails when it is not tied to a Supply Chain vision

Scaling Supply Chain AI Requires Process Ownership, Data Discipline and Governance

GenAI Productivity Gains Depend on Workforce Readiness and Operating-Model Change

Two-thirds of procurement organisations have AI ambitions their operating foundations cannot support

Mapping the First Wave of Vibe-Coded Supply Chain Applications

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

Procurement go-lives are authority migrations, not software launch dates

Why Faster AI Prototyping Does Not Simplify Supply Chain Decisions

AI Agent Spending Is Accelerating Faster Than Enterprise Deployment Discipline

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

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

xAI

Google DeepMind

Cranfield Centre for Logistics and Supply Chain Management

Cambridge Institute for Manufacturing

ARC Advisory Group

Nikki Baird

Pierre Mitchell