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Oracle introduces Claw-powered agentic applications for supply chain planning and execution

Slimstock brings next-generation AI planning focus to SAPICS 2026

SAP prepares a new Integrated Business Planning sneak preview for June 22

Pigment Introduces Graphite Architecture for Scalable, Governed Planning

RELEX expands its agentic AI platform to coordinate planning and merchandising decisions

Almeera selects RELEX to unify forecasting, replenishment and space planning across Qatar

Oracle adds agentic applications for supply chain performance

DataLeo launches a Supply Chain AI Radar covering planning, operations and decision governance

Vibe-Coded Supply Chain Apps Move From Experiment to Governance Challenge

Infor expands Industry AI with more than 100 agents and Agentic Orchestrator enhancements

Oracle adds agentic AI applications for supply chain workflows

CISCE highlights AI-driven innovation across global agri-food supply chains

SAP Positions Joule Agents and Assistants as a New AI Layer for Supply Chain Management

Oracle adds agentic applications for inventory, supplier and production decisions

NEURA Robotics raises up to $1.4 billion to scale its physical-AI platform

Oracle expands embedded AI agents for supply-chain operational efficiency

Microsoft Dynamics 365 shows how agentic AI links supply chain data, decisions and execution

E2open positions agentic AI as an embedded layer for connected supply chain management

Alain Matar and SupChains collaborate on a planner-facing forecasting application

SAP launches its Autonomous Enterprise and governed Business AI Platform

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

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

BoCloud raises new funding to expand AI deployment in manufacturing

Connected Planning Model Builder

Senior Application Developer, MDK/Fiori/ABAP

Applied Scientist, Execution Planning Science & Engineering, Amazon (10562813)

Support Engineer — Enterprise Supply Planning and Demand Planning

Solution Architect — Production Planning and Scheduling

Solution Architect — Supply Chain Planning, Manufacturing

Senior Solution Architect — Demand Planning & Forecasting

Enterprise Solution Architect — Demand Planning and Fulfillment

Advanced Demand Analytics Lead - Johnson & Johnson

Architect, Machine Learning (Principal Scientist)

Senior Solution Architect — Demand, Supply, Production and S&OP

Principal Development Architect, SAP Business Data Cloud

Head of AI & Advanced Apps

Open Application — Supply Chain Software Developer

Open Application — Supply Chain Consultant / Project Manager

Senior Product Manager, Supply Chain

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

ERP Development Business Analyst, Senior

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

EVENT: How I vibe-coded my Advanced Planning System

EVENT: MIT SCALE webinar tests what AI can and cannot fix in planning

EVENT: Intuiflow showcases Demand Driven planning at Procurement Summit Hamburg

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

EVENT: Webinar — Five MarketMaps, One Emerging Supply Chain Technology Architecture

EVENT: AI in logistics and business applications conference runs in Amsterdam

RISK: Corporate Digital Subscription Sprawl Weakens Cost and Access Governance

EVENT: Supply Chain & AI Event highlights practical forecasting, automation and agent use cases

WARNING: SBOM Adoption Remains Uneven Ahead of EU Cyber Resilience Requirements

SECURITY: AI-Driven Software Supply Chain Attacks Increase Pressure on Enterprise Controls

SECURITY: AI-Accelerated Attacks Exploit Basic Enterprise Security Gaps

RISK: Open Machine-Learning Models Create an Uncontrolled AI Supply Chain

WARNING: AI-Enabled Vulnerability Discovery Is Breaking the Traditional Patch Cycle

WARNING: ENISA Seeks Stronger Controls for SBOMs and Package Managers

AI-built planning applications collapse development time, not planning complexity

Lora Cecere asks whether companies should build Supply Chain planning applications themselves with AI

Capacity planning software should be selected by constraint fidelity, not vendor ranking

Building a browser-based IBP engine with Claude AI

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

AI-infrastructure growth is becoming an industrial-material planning problem

Mapping the First Wave of Vibe-Coded Supply Chain Applications

Jean-François Nordmann sees vibe coding creating a two-speed Supply Chain planning market

BARC survey shows a wide gap between agentic-AI potential and current planning impact

AI should remove planning administration, not replace judgment

The People Paradox: Why supply chain AI readiness cannot be measured by training alone

Cisco's supply chain AI agents: Six hours saved per planner, but where is the operational value?

AI-Native Organizations Are Coming Faster Than Most Supply Chains Expect

Why Supply Chain Transformation Fails Before It Starts: The Missing Layer Between ERP and Decision-Making

Enterprise AI architecture must preserve business meaning across systems

AI Infrastructure Opportunities May Matter More Than End Applications

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

From Bots to Agentic Supply Chains: Why the Next Competitive Advantage Will Be Decision Augmentation, Not Full Automation

Why o9’s knowledge graph matters as supply-chain decision architecture

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

Kinaxis frames operational AI as an always-on supply chain decision system

Why Faster AI Prototyping Does Not Simplify Supply Chain Decisions

AI Education Is Expanding Faster Than Supply Chain Governance

ERP, SaaS and AI: Choosing the Right Planning Architecture

Jean-François Nordmann proposes ten governance laws for vibe-coded Supply Chain applications

Why faster AI decisions require milestones based on physical supply-chain outcomes

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

Arnaud Morvan and Damien Portmann map practical Supply Chain use cases for AI agents

Industrial AI policy is shifting from model leadership to production-system capacity

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

Map the supply chain IT portfolio before adding another AI application

Infor Supply Chain Planning

DecisionBrain

QAD

Oracle Supply Chain Management

Aptean

Oracle Fusion Cloud SCM

SAP

SymphonyAI

AWS Supply Chain

Aera Technology

E2open

Microsoft Dynamics 365 Supply Chain Management

Aible

SymphonyAI Retail

o9 Solutions

Epicor

Amazon Bedrock

Microsoft Azure AI Foundry

Writer

Databricks Mosaic AI

AI21 Labs

Fivetran

Confluent

Arize AI

DataRobot

Dataiku

Braincube

C3 AI

Meta Llama

Denodo

DataLeo

BEOM Consulting

Alain Matar

Gregory Pitstick

Sandia Ghernati

Jean-François Nordmann

Nicolas Vandeput

Arnaud Morvan

Martijn Lofvers