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Why Supply Chains Need a New Operating System
Modern supply chains are straining under constant pressure. Global sourcing models are more intricate, lead times less predictable, and disruptions—whether geopolitical shocks, climate events, or trade disputes—are no longer rare exceptions. At the same time, customers expect speed, low cost, and transparency as the norm.
Traditional approaches—manual planning, static forecasts, siloed ERP or TMS systems—were not built for this reality. They digitize, but they don’t reason. They automate, but they don’t adapt. The result: brittle networks, overwhelmed teams, and constant firefighting.
This is where artificial intelligence (AI) changes the game. Not as a bolt-on chatbot or a clever forecasting tool, but as a structural shift in how supply chains operate. AI can perceive patterns across millions of variables, reason through complex conditions, and adapt in real time. These capabilities are already being deployed in procurement, planning, logistics, and fulfillment.
But to reach full potential, AI needs more than isolated models. It requires communication between systems (A2A), memory across time (MCP), and knowledge grounded in real-world data (RAG and Graph RAG). Together, these architectures form the backbone of a new supply chain operating system—one designed not just for automation, but for adaptability, collaboration, and resilience.
This is the focus of our new ARC Advisory Group white paper: AI in the Supply Chain: Architecting the Future of Logistics with A2A, MCP, and Graph-Enhanced Reasoning.
Why It Matters for Leaders
Executives need clarity, not hype. You need:
Proof points that show AI’s tangible value in cost, speed, resilience, and sustainability.
Guardrails to prevent compliance failures, bias, or security breaches.
A roadmap that avoids scattered pilots and instead builds systematic maturity.
This white paper delivers exactly that—a 10-part executive guide to building the AI supply chain of the future.
Get your free copy of AI in the Supply Chain: Architecting the Future of Logistics with A2A, MCP, and Graph-Enhanced Reasoning and learn how to turn disruption into competitive advantage.
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AI in the Supply Chain (0 downloads )
Join the Conversation: Upcoming Webinar
Don’t just read the roadmap, see it in action. Join our live webinar where Jim Frazer and ARC analysts will walk through:
Real-world pilot results
Executive use cases
How to get started in your own supply chain
Date: September 16 at 11AM
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The post Architecting the AI Supply Chain: A 10 Part Executive Guide appeared first on Logistics Viewpoints.