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No Chain Technologies Wins Best Supply Chain Information System at the 2026 Agora Awards

22 of Gartner's Supply Chain Top 25 Run on Xeneta: Real-Time Freight Benchmarks Now Standard for Carrier Negotiations

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

ARIS launches Process Context for Enterprise AI to ground agents in operational workflows

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

Parfetts introduces agentic AI into supplier-data operations

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

WARNING: Legacy Data Gaps Continue to Limit AI-Based Supply Chain Response

SECURITY: McKesson discloses cybersecurity incident; material impact not determined

OUTAGE: Nucor Halts Production After Unauthorized Access to IT Systems

EVENT: India completes military-logistics AI programme

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

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

AI Agents Need More Than Intelligence: Why Feedback Loops Will Define the Future of Supply Chain Decision-Making

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

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

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

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

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

The End of the PowerPoint Consultant? How AI Is Rewiring the Future of Supply Chain Consulting

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

AI investment outpaces data readiness: the GS1 US Supply Chain Readiness Gap study

4flow shows how AI agents could enable continuous strategic supply-chain network planning

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

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

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

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

Evaluating agentic AI for demand forecasting requires more than forecast accuracy

AI Anxiety: When Continuous Tool Adoption Becomes a New Professional Fatigue

David Simchi-Levi’s 2026 research shows how information delays shape forecastability and inventory cost

AI in TMS matters only when it is embedded in the transport decision process

Agentic AI is turning logistics communication into an execution layer

Embedded AI versus bolt-on AI in Supply Chain Planning

Forecasts Predict Demand; Demand Plans Translate It Into Action

Descartes and agentic AI: from orchestrated demos to accountable logistics execution

Transportation leadership: why AI cannot orchestrate a network it cannot see

Carrefour on ChatGPT shifts commerce readiness toward product data and fulfillment integration

Nicolas Vandeput on machine learning, inventory simulation and planner roles

Two Logistics Markets, One Responsiveness Challenge: The Planning-Control Implication

EDI Data Freshness Is a Decision Constraint for AI-Driven Replenishment

Omnichannel logistics as a coordination challenge: revisiting Voxlog's 2024 coverage of Jonak and Log's

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

How to choose supply chain software when every vendor has an AI story

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BEOM Consulting

Hau L. Lee