Search the radar

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

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

US Defense Logistics Agency applies Nicolas Vandeput’s demand-forecasting framework

SKU Science Showcases Forecasting and Inventory Features at Global Industrie 2025

Flowlity positions probabilistic planning as an alternative to Excel-based workflows

Aptean brings prebuilt planning agents to Logility DemandAI+

SKU Science keeps lightweight demand planning relevant for SMB and e-commerce teams

Aptean brings Logility DemandAI+ agentic AI to supply chain planning

Arkieva frames AI in supply chain planning around practical decision support rather than hype

Operations Manager

Demand & Inventory Planner – Food Import & Trading

EVENT: AI-based demand forecasting in manufacturing course starts

EVENT: Algo Hosts “The Trillion-Dollar Forecast” Webinar on Forecasting as a Scenario Tool

EVENT: Manufacturers review supply-chain resilience strategies

EVENT: Sunstice to host webinar on touchless demand planning and Agentic AI

EVENT: ASCM and IBF Best of the Best S&OP Conference returns to Chicago in June 2026

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

Five demand-forecasting mistakes supply-chain leaders are rethinking

Why cumulative and lag-one forecasts matter for inventory decisions

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

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

Lokad’s vendor reviews expose the evidence gap in AI-first planning

Forecast Accuracy Is Not Enough: S&OP Must Measure Decision Latency

Why Forecast Accuracy Matters More Than AI Labels

SKU Science Is Best Understood as a Lightweight Forecast-Governance Layer

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

Five questions that expose weak IBP maturity

Machine learning is changing demand planning, but humans still matter

Ganacos Links Demand Planning Performance to Data Quality, Cross-Functional Ownership and Scenario Governance

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

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

Planning productivity claims double-count the same planner minute

The AI-empowered supply-chain leader

Agentic AI economics require value ownership beyond token-cost tracking

AI agents are reaching production faster than organizations are defining accountability

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

o9 Leadership Move Signals A Market Positioning Watchout

AI Skills Are Not Enough If Decision Ownership Is Unclear

Model Literacy Matters Only When Planning Decisions Are Governed

Jon Nichols shows what continuous planning looks like in a next-gen planner’s week

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

Orchestra’s Recovery Shows Why Inventory Reduction Is a Governance Problem

Mapping the First Wave of Vibe-Coded Supply Chain Applications

GenAI Productivity Gains Depend on Workforce Readiness and Operating-Model Change

Build an AI-assisted demand forecast in IBM Planning Analytics

Supply Chain Outlier Detection 101: Build a simple demand-sensing review team with AI agents

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

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

ToolsGroup

SKU Science

Flowlity

Infor Supply Chain Planning

Logility

StockIQ Technologies

Netstock

Arkieva

Anthropic

Alain Matar

Thomas Barciet