As AI becomes a primary interface for commerce, the real constraint is no longer models - it’s fragmented product data. This session explores how universal commerce protocols and shopping graphs create a shared, machine-readable layer for products, prices, availability, and intent, enabling AI systems to reason and act across the commerce stack. We’ll look at what becomes possible when commerce data is interoperable by default - from AI-driven discovery and comparison to automated checkout and fulfillment and why this shift challenges today’s closed marketplaces. Key takeaways: → What shopping graphs enable that traditional catalogs can’t. → Why universal commerce protocols matter for AI-native shopping. →How interoperability unlocks end-to-end AI commerce workflows.