Designing Multimodal Collaborative Agents for Next-Gen Commerce

Official Schedule Context

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.

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Pending transcript synthesis when an official recording or confirmed matching video is available.