{"id":3334,"date":"2026-03-24T08:00:00","date_gmt":"2026-03-24T15:00:00","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/innovation\/blog\/ms-industry\/supply-chain-2-0-how-microsoft-is-powering-simulations-ai-agents-and-physical-ai\/"},"modified":"2026-04-09T12:06:39","modified_gmt":"2026-04-09T19:06:39","slug":"supply-chain-2-0-how-microsoft-is-powering-simulations-ai-agents-and-physical-ai","status":"publish","type":"ms-industry","link":"https:\/\/newed.any0.dpdns.org\/en-us\/microsoft-cloud\/blog\/mobility\/2026\/03\/24\/supply-chain-2-0-how-microsoft-is-powering-simulations-ai-agents-and-physical-ai\/","title":{"rendered":"Supply Chain 2.0: How Microsoft is powering simulations, AI agents, and physical AI"},"content":{"rendered":"\n

The next wave of AI innovations<\/h2>\n\n\n\n

Exactly one year ago, we outlined how generative AI is creating a new era of efficiency and innovation for logistics and supply chain<\/a>. We mapped AI use cases across the value chain, from demand forecasting to AI-based customer service, and introduced two new reference architectures for logistics and supply chains: adaptive cloud and AI\u2011enhanced experiences, alongside innovations in Microsoft Dynamics 365. <\/p>\n\n\n\n

Since then, technology has rapidly evolved. We are now in the agentic era of AI with agents being capable of reasoning, planning, and taking action across complex supply chain workflows. End-to-end agent hosting like in Microsoft Foundry<\/a> and open protocols such as Model Context Protocol (MCP)<\/a> have made it easier for AI agents to connect with each other as well as enterprise systems, tools, and data.<\/p>\n\n\n\n

Additionally, there have been significant advances in 3D simulations, robotics, and embodied intelligence. Open platforms for physical AI like NVIDIA Cosmos<\/a> with world foundation models (WFMs) as well as the OSMO edge-to-cloud compute framework on Azure<\/a> enable machines and humanoid robots to act more effectively in the physical world, resulting in broader automation across warehouses, distribution centers, and transportation. This new article picks up Microsoft\u2019s perspective on supply chain and logistics one year after our previous blog article and explores how our own logistics teams as well as frontier customers and partners use this new wave of innovations together with Microsoft.<\/p>\n\n\n\n

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Use AI to build more predictive supply chains\u2014get the e-book<\/a><\/div>\n<\/div>\n\n\n\n

Microsoft supply chains: Our own \u201ccustomer zero\u201d story <\/h2>\n\n\n\n

Microsoft operates one of the world\u2019s most far-reaching cloud supply chains spanning more than 70 Azure regions, over 400 datacenters, and a network of more than 600,000 km of fiber. Our datacenters<\/a> are the backbone of Microsoft Azure<\/a> powering everything from AI infrastructure and collaboration tools to networking and security. Microsoft also runs supply chains for Microsoft Windows and Devices<\/a> with Surface hardware and PC accessories as well as Xbox consoles and gaming hardware<\/a>. <\/p>\n\n\n\n

\"Three<\/figure>\n\n\n\n

All of our supply chains have undergone a fundamental transformation over the past decade, evolving from a reactive, manual environment into a rapidly emerging autonomous, agentic supply chain. In the past, our operations were dominated by Excel-based reporting, limited visibility, and siloed data. In 2018, we consolidated more than 30 systems into a single supply chain supply chain data lake on Azure<\/a>, enabling predictive analytics and the first generation of cognitive supply chain capabilities. In 2022, we began experimenting with generative AI, followed by the development of an AI platform to operationalize agents at scale. Today, this foundation is accelerating to fully autonomous agents, and more than 25 AI agents and applications have been deployed. Below are three examples: <\/p>\n\n\n\n