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.

Each year, organizations from around the world demonstrate how advanced analytics and operations research are solving real problems at massive scale – from retail and logistics to healthcare systems, public services, and the complex networks that keep our world moving.

Joining me today are members of the team from India's Department of Food and Public Distribution (DFPD), working in partnership with the United Nations World Food Programme in India and the Indian Institute of Technology Delhi.

Together, they developed Anna Chakra, an operations research–based decision support system designed to strengthen India's Public Distribution System by optimizing the logistics that move food across the country.

Today we'll hear how this ambitious project came together – and how operations research is helping transform food distribution at national scale.

Each year, organizations from around the world compete in the INFORMS Franz Edelman Award competition, demonstrating how advanced analytics and O.R. are solving real problems at massive scale.

In this episode, members of the team from Chewy, the largest online pet retailer and pharmacy in the United States, share how they tackled a challenge that sounds simple on the surface but becomes incredibly complex at scale: replenishment.

Using a science-driven suite of models, supported by a custom engineering platform and continuous analytics monitoring, the team transformed how Chewy manages purchase orders, safety stock, and inventory placement – all while accounting for unreliable data, supply uncertainty, and vendor constraints.

The result? Improved inventory placement, fewer split shipments, shorter shipping distances, and meaningful financial impact in a thin-margin industry.