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

Pigment expands Modeler Agent with application-history context to explain planning changes

Optilogic introduces Ada to compress supply chain network design from months to days

Pigment Introduces Graphite Architecture for Scalable, Governed Planning

o9 frames Responsible AI as enterprise readiness for agentic planning

project44 launches Autopilot as a no-code platform for supply-chain agents

Coupa introduces Navi Agent Studio for autonomous procurement and supply chain tasks

2026 Inventory-Planning Review Shows Automation Shifting From Forecasting to Replenishment Decisions

Flowlity Introduces Forecast Studio to Make AI Demand Forecasts More Transparent

SAP adds AI-assisted planning capabilities to Microsoft Excel

RELEX demonstrates agentic AI for unified retail and supply-chain planning

Intuiflow Integrates SKU Science Demand Planning into Its Planning Platform

Change Coordinator

Connected Planning Model Builder

Associate Director, Demand Planning & Purchasing

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

PPO Supply Chain Planning — Sales Forecast

RISK: Uncontrolled Excel Planning Creates Version and Decision-Ownership Exposure

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

WARNING: Digital twins can create a second version of capacity if planning systems are not synchronized

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

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

RISK: Spreadsheet-Based S&OP Can Produce Conflicting Plans and Unowned Logic

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

EVENT: How I vibe-coded my Advanced Planning System

EVENT: Anaplan demonstrates AI-assisted model development with CoModeler

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

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

WARNING: Specialized planning agents can multiply faster than their governance model

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

EVENT: On-demand webinar — Demand Planning in 100 Days

WARNING: NIST Identifies Security Risks From AI Tools in Software Development

Excel Is Not the Problem—Uncontrolled Planning Logic Is

Maintenance optimization belongs inside capacity planning—not beside it

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

APS and manufacturing execution are converging around the same constraint model

Mapping the First Wave of Vibe-Coded Supply Chain Applications

Exception management is becoming the control plane for planning AI

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

A digital twin is useful only when it feeds one governed capacity truth

DataLeo warns that AI-built Supply Chain tools could become the next generation of shadow IT

AI-first planning vendors differ most in who owns the model

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

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

Modern Demand Planning Requires Model Selection, External Signals and Governance

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

Continuous-planning agents must remain connected to governed plans

The AI-skilled supply-chain talent gap requires role redesign, not hiring alone

Supply planning is becoming capital allocation with a service constraint

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

Vendor “agentic AI” claims now need an agent inventory, not another capability map

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

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

Cold-Chain Expansion Makes Telemetry and Exception Governance More Critical

Acquiring AI Talent Does Not Automatically Create a Governed Decision System

S&OP Needs a Governed Middle Layer Between ERP and Executive Decisions

The inventory-planning platform is not the operating model

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

Is MAPE Still the Right Forecast Accuracy Metric for Demand Planning?

Designing a Governed Middle Layer Between ERP and Decision Apps

APIs Enable Supply Chain Automation—but Also Create Ownership Risk

Why Aerospace Planning Still Depends on Excel—and What Should Replace It

Build a Governed S&OP Scenario Register Instead of Managing Scenarios in Email

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

Build a Governed AI Control Tower for Logistics Questions

Create a Decision and Permission Matrix for Supply Chain Planning Agents

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

Build a Governed AI Forecast Review Workflow Before Connecting AI to Your Planning System

Build a SKU-Location Demand Forecasting Pipeline with BigQuery ML

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

Run a One-Week Planning Master-Data Audit

Test Whether a Supply Chain AI Agent Is Real or Agent-Washed

Build a governed Claude Managed Agent for Supply Chain workflows

Jedox

Pigment

Meta Llama

Mistral AI

Anthropic

Workday Adaptive Planning

RetailNext

LlamaIndex

dbt Labs

Databricks

MRPeasy

Visual Planning

User Solutions

Tulip

PTC

Epicor

Siemens Digital Industries Software

Aptean

DataLeo

Jean-François Nordmann

Prashant Gopalan

Alain Matar

Fei Tao

Nicolas Vandeput