Advances in data, algorithms, and compute power are changing what’s possible in supply chain decision-making. Problems that couldn’t be modeled at all with traditional tools can now be solved in hours—with greater detail, more realism, and a much broader scope.

Traditionally, digital twins in supply chain were used for strategic “what-if” questions: Where should we put our warehouses? How should we set inventory policies? What’s the most efficient transportation network?

But today’s supply chains are global, multi-channel, and constantly in motion. And the modern Chief Supply Chain Officer wants more.

She’s asking:

- “How far can I push my product substitution strategy?”

- “Can I spot a stock-out before it happens—and do something about it?”

She wants to zoom in. She wants her models to get granular—not just at the network level, but all the way down to SKU, lane, and location. And thanks to new technology, that’s now possible.

In this session, we’ll go beyond the theory and share real examples from real companies who are evolving their digital twins—from annual planning tools into everyday decision systems. Whether you're looking to redesign your network or empower planners with better what-ifs, we’ll walk through how organizations are using digital twins to drive agility, efficiency, and smarter decision-making.