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Lemvigh-Müller turns unstructured supplier documents into executable supply-chain data

Sunstice launches Helios as an agentic-AI layer for Supply Chain Planning

DENSO transforms global supply-chain operations with Oracle Fusion and embedded AI

22 of Gartner's Supply Chain Top 25 Run on Xeneta: Real-Time Freight Benchmarks Now Standard for Carrier Negotiations

SAP presents its autonomous Supply Chain vision around AI agents and orchestration

SAP embeds agents into manufacturing and supply-chain workflows at Hannover Messe

Colombina standardizes ERP and IBP operations before activating AI agents

NEC launches cross-system SCM AI Agent for forecasting, procurement and planning

Epicor Prism becomes generally available across Latin America

Rootstock Summer ’26 puts AI agents into active production pilots

Nissin Foods selects Blue Yonder and Highspring for AI-driven Supply Chain planning

NetAcct launches AI-native ERP with embedded procurement and inventory workflows

HashMicro expands its manufacturing platform with AI-native operational capabilities

Oracle adds agentic applications for supply chain performance

Infor and Kinaxis launch an advanced planning solution for discrete manufacturers

Netstock launches AI Pack for SMB supply chain visibility and inventory decisions

Experienced Analyst, R&D Master Data

JJT TPO ERP Master Data Manager

New Unit Master Scheduler

Data Integration Engineer

Manager — SAP IBP Advisory

Integration Consultant

Junior Implementation Consultant

Data Science Expert (Domain Models) – Data Labs

Senior Planner — KSA

Planning and Scheduling Manager

Planning Solution Architect

Digital Solution Advisor — SAP Cloud ERP / Digital Supply Chain

Demand & Inventory Planner – Food Import & Trading

Site Materials Manager

FAILURE: Weak Master Data Can Undermine Automated Planning Decisions

RISK: AI-Generated Electronic Part Data Can Introduce Sourcing and Compliance Errors

WARNING: “One data model” does not guarantee one governed planning truth

WARNING: Global risk monitor flags customs-data and port-clearance exposure

FAILURE: Capacity plans become mathematically correct and operationally wrong when constraints are stale

REGULATION: CBP begins immediate voiding of inaccurate importer-of-record numbers

WARNING: AI planning can scale semantic fragmentation if data meaning is not governed

WARNING: Legacy Data Gaps Continue to Limit AI-Based Supply Chain Response

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

EVENT: How I vibe-coded my Advanced Planning System

EVENT: Intuiflow showcases Demand Driven planning at Procurement Summit Hamburg

NOMINATION: Vineet Khanna Joins Kearney PERLab as Advisor

OMP shows why master-data accuracy is not enough for APS trust

AI planning projects often fail upstream: the real problem may be master data or workflow

Master Data Is Not an IT Prerequisite—It Is a Planning Decision

Supply-chain AI depends on governed data foundations

Manufacturing agent adoption is moving faster than data readiness

Why data control is becoming the decisive advantage for SaaS-based Supply Chain AI

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

Ganacos Positions the Master Production Schedule as the Link Between Forecasts, Capacity and Execution

DataLeo’s project portfolio illustrates the changing role of independent Supply Chain transformation advisors

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

Stefano Esposizione argues that AI will amplify weak Supply Chain governance rather than fix it

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

AI Around Optimization: Better Inputs, Decisions and Learning Loops

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

ERP migration should not freeze the supply chain planning decision layer

Nicolas Vandeput on machine learning, inventory simulation and planner roles

Mapping the First Wave of Vibe-Coded Supply Chain Applications

The agentic-AI market forecast is growing faster than process redesign

AI that accelerates bad processes can preserve the real bottleneck

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

AI-native ERP will test whether SMEs can maintain one operational truth

Six AI developments reshaping supply-chain software

Why Faster AI Prototyping Does Not Simplify Supply Chain Decisions

AI is moving supply-chain planning from prediction to automatic replanning

Open-source APS lowers the software barrier—but raises the ownership requirement

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

Exception management is becoming the control plane for planning AI

Reacting Before the Ripple Becomes a Wave with SAP Autonomous Supply Chain

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

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

Run a One-Week Planning Master-Data Audit

Build a governed autonomous replenishment agent for SAP S/4HANA with Claude and MCP

Experiment: Build a Supply Chain as a Service company with OpenOPC

Create a Decision and Permission Matrix for Supply Chain Planning Agents

Build a Governed AI Control Tower for Logistics Questions

Informatica

FuturMaster

Graphite Connect

Scandit

Confluent

Siemens Digital Industries Software

Oracle Supply Chain Management

SKU Science

o9 Solutions

OMP

AWS Supply Chain

QAD

Netstock

SAP

Firstshift

MRPeasy

CyberPlan

Dialflo

Ivalua

GS1

Opus Numeris

Thoucentric

Nicolas Vandeput

Alain Matar

Vineet Khanna

Amélie Destefanis