When AI plans the plan: NVIDIA’s Edelman story

Each year, organizations from around the world demonstrate how advanced analytics and operations research are solving real problems at massive scale – and are recognized and celebrated by the INFORMS community with the Franz Edelman Award competition.

Joining me today are members of the team from NVIDIA, a global leader in accelerated computing and artificial intelligence.

As companies grow and their products evolve, the demand–supply networks that support them often become incredibly complex. To stay ahead of this complexity and remain responsive in fast-moving markets, organizations need smarter and more adaptive supply chain management systems.

To tackle this challenge, NVIDIA developed an AI-powered planning platform designed to maintain stability, responsiveness, and agility across their global supply chain. The platform brings together a full stack of advanced technologies, all working together to support intelligent supply chain planning at scale.

Today, we’ll hear more about how this powerful combination of AI and optimization is transforming supply chain decision-making.

I hope that they take away that AI is the ultimate equalizer and augmentation tool. Real AI isn't just statistical forecasting. It is training an engine with vast knowledge to reason and solve complex physical constraints. We've proven that mathematical optimization can be democratized so that anyone can use it to build smarter, more resilient supply chain networks. And the best part is we've open sourced a cuOpt agent so developers can turn natural language into powerful optimization models. Run them on NVIDIA cuOpt and build their own agentic optimization workflows starting from a supply chain use case and expand to so much more.

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