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

Blue Yonder 2026.2 expands planning with forecast transparency, financial impact simulation and inventory agents

Aptean brings prebuilt planning agents to Logility DemandAI+

Mio uses RELEX AI diagnostics to improve proactive retail planning

Aptean brings Logility DemandAI+ agentic AI to supply chain planning

BISSELL accelerates end-to-end supply chain planning with o9 Solutions

Anthropic’s Founder’s Playbook Signals the Rise of AI-Native Operating Models — And Supply Chains Should Pay Attention

Applied Scientist, Worldwide Grocery Stores - Data and Science

Finance Business Manager — Supply Chain

Supply Chain Planning Engineer

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

AI Supply Chain Consultant

Demand & Inventory Planner – Food Import & Trading

Factory Planner — NVIDIA (JR2021699)

ICQA Area Manager, Inventory Control and Quality Assurance

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

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

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

RISK: Boards Lack Governance Models for Agentic Decision Rights

Five demand-forecasting mistakes supply-chain leaders are rethinking

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

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

Logility white paper reframes demand planning around AI, sensing and explainable forecasts

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

Category planning is policy governance—not spreadsheet maintenance

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

GenAI lowers the automation threshold, but error economics determine what should be automated

Machine learning is changing demand planning, but humans still matter

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

Samse and Vékia: Why Supply Planning Transformation Requires More Than an APS

Demand planning AI should be measured by decision latency, not only forecast accuracy

Sponsored insight: How AI is reshaping supply chain decision-making

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

Planning productivity claims double-count the same planner minute

Claude and Power BI show the promise and validation gap of AI-assisted inventory allocation

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

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

From BI to S&OP and DDMRP: revisiting a 2019 Voxlog interview with Supplaï's Gilles Alais

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

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

Planning software ROI needs finance attribution and post-go-live ownership

Peak Season Is Not One Peak: The Inventory and Capacity Planning Problem

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

Indonesia-focused view: AI agents are moving into real-time supply chain execution

Supply-chain AI needs more than automation

Launch execution fails when allocation governance cannot keep pace

Predictive inventory risk needs an operational fallback and a financial loss owner

Long-Running AI Agents Change the Planning Operating Model

Black Swans Are Not an Excuse for Weak Supply Chain Preparedness

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

Jedox

Logility

SAP

Meta Llama

Microsoft Dynamics 365 Supply Chain Management

Aleph Alpha

AI21 Labs

Mistral AI

Anthropic

Guillaume Trécan

David Maloney