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RELEX introduces agentic AI for supply planning diagnostics

Pigment Introduces Graphite Architecture for Scalable, Governed Planning

McKesson highlights AI and automation as core supply-chain capabilities at ideaShare 2026

T-Systems and SupplyOn bring sovereign AI agents to industrial procurement

o9 frames Responsible AI as enterprise readiness for agentic planning

Infios adds AI agents for supply chain execution across orders, warehouses and transportation

Lead Agentic AI Engineer

WARNING: AI alone cannot run inventory planning without human decision controls

RISK: AI autonomy can expand faster than human accountability

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

RISK: Autonomous supply-chain workflows can bypass the approval architecture

RISK: Agentic planning claims are advancing faster than auditability and decision ownership

EVENT: How I vibe-coded my Advanced Planning System

EVENT: Alkemys webinar highlights pragmatic AI agents in Supply Chain

Machine learning is changing demand planning, but humans still matter

Forecast overrides are a governance problem, not only a forecasting problem

AI and decision engineering can reduce planner heroics

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

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

Human accountability remains central to self-driving S&OP

AI agents for inventory control: human, LLM and operations-research complementarity

Where Supply Chain Automation Needs Human Control

Forecast variability: when human enrichment destabilizes planning

AI agents are reaching production faster than organizations are defining accountability

AI Agent Spending Is Accelerating Faster Than Enterprise Deployment Discipline

Better decisions matter more than fully autonomous supply chains

Flowr: agentic AI for large-scale retail supply-chain operations

AI Around Optimization: Better Inputs, Decisions and Learning Loops

Forecast Value Added Turns Planner Overrides into a Measurable Governance Process

Florent Tronquit proposes three questions to test the real value of AI in Supply Chain

AI agents should enrich forecasts only with information the model cannot see

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

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

AWS architecture moves multi-agent supply-chain AI from dashboards toward actions

Self-steering supply chains are arriving before companies have defined who owns the decision

AI adoption metrics are meaningless without a decision-quality metric

Konstantin Zlobin: AI struggles when planning pilots meet operational reality

From Forecast Accuracy to Connected AI-Assisted Planning in CPG

Kinaxis and the “SaaS-pocalypse” test: why supply chain software may be different

Resilience Planning Requires More Than Crisis Awareness

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

AI Agents in Supply Chain: From Planning Trade-Offs to Enterprise Decision Redesign

Heather Sye’s AI maturity model exposes the gap between experiments and operating-model change

From Execution Roles to Orchestration Roles in Supply Chain Operations

Create a Decision and Permission Matrix for Supply Chain Planning Agents

Build a governed Claude Managed Agent for Supply Chain workflows

From Open-Source Multi-Agent Control Tower to Governed Supply Chain Decision App

UiPath

GAINS

Solvoyo

Lokad

AI21 Labs

OpenAI

ToolsGroup

Holistic AI

Daisy Intelligence

Nomagic

Seegrid

RightHand Robotics

xAI

OMP

DataLeo

Cassie Kozyrkov

Edmund Zagorin

Tanguy Caillet