About this session

Today's commerce agents wait to be told what to look for. But most users live by a different rule: "I don't know what I want — I'll know it when I see it". If agentic commerce is ever going to cross the chasm, these systems need to stop waiting and start co-shopping. The future of commerce belongs to agentic collaborators that offer a white-glove, personal shopper experience - entirely absorbing the cognitive burden of product discovery, deep research, and validation. Rather than requiring shoppers to input exact search terms or define clear objectives, modern shopping systems will seamlessly guide them from a rough idea to the ideal product. By leveraging multimodal capabilities, these assistants can interpret abstract aesthetic "vibes" to understand user preferences, generate visual references to clarify questions, and enable a highly immersive try-before-you-buy experience to validate products, keeping the user aligned and visually grounded throughout the process. This talk will explore how advanced systems like Gemini work alongside users to clarify their preferences during the discovery process, co-navigate fluidly generated product categories, leverage individual context to filter choices, and produce interactive side-by-side comparisons tailored to the buyer's key priorities. The session will also cover robust auto-rater frameworks and how to design evals for high-agency execution. Attendees building conversational agents, managing complex product data graphs, or creating next-generation multimodal agentic interfaces will gain practical frameworks and insights to deliver highly personalized experiences at scale.

Topics

Speaker

Nidhi Vyas

Product Lead · Google DeepMind