Search the radar

Slimstock expands inventory optimization with Mees van den Brink

Sunstice and Kbrw connect planning and execution through an agentic decision loop

Amart replaces legacy planning with AI-driven forecasting and replenishment

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

Amart Furniture replaces legacy planning with RELEX

LeanDNA launches Demand Scenario Modeling in APEX

Parts Inventory Collaboration Analyst

Supply Chain Planning Engineer

Supply Chain Planning Analyst (Early Talent) — 2 openings

Material Planning Analyst

Supply Chain Consultant

Supply Chain Planning Engineer

Material Planning Controller

Production Planning Analyst

Demand Planner

Senior Manager, Supply Network Planning

Material Planning Analyst

Logistics Engineer – Electric Power

Customer Success Manager

Junior Implementation Consultant

WARNING: Inventory-platform replacement can recreate shadow planning if parameters remain unowned

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

SECURITY: NIST Flags New Threats From Autonomous AI-Agent Access

EVENT: Baxter Planning on orchestrating service planning and execution

EVENT: How I vibe-coded my Advanced Planning System

RISK: Boards Lack Governance Models for Agentic Decision Rights

Ganacos Frames Inventory Optimization as a Continuous Decision Process Across ERP, WMS and Planning

Updating planning parameters is a practical first step for supply-chain AI

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

The inventory-planning platform is not the operating model

Category planning is policy governance—not spreadsheet maintenance

Buffers Are Not Forecasts: Understanding Their Role in Inventory Decisions

Inventory Reduction Is a Consequence, Not a Transformation Objective

Medical device supply chains: When more safety stock is the right resilience decision

Lead-time forecasting should produce a probability distribution—not a single ERP parameter

Digital twins only matter when they change replenishment and routing decisions

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

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

Stochastic optimization is becoming the governed middle layer between AI and MRP

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

Evaluating agentic AI for demand forecasting requires more than forecast accuracy

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

Lyreco and RELEX: Reliable Forecasting Requires More Than an AI Planning Tool

Manufacturing copilots need production-state authority, not only ERP access

Production planning is becoming a financial decision system—but most companies still govern it as scheduling

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

Is the Autonomous Supply Chain Too Good to Be True? Why 100% Autonomy Is the Wrong Target

Purpose without delegated authority cannot sustain Supply Chain transformation

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

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

Map the supply chain IT portfolio before adding another AI application

Demand Driven Technologies

B2Wise

LeanDNA

Streamline

Oracle Supply Chain Management

QAD

AIMMS

ketteQ

Google Gemini Enterprise

Alkemys Consulting

Gregory Pitstick

Thomas Barciet

Mark Sawaya