---
title: "Designing Multimodal Collaborative Agents for Next-Gen Commerce"
category: "talks"
date: "2026-07-01"
time: "10:45am-11:05am"
track: "Agentic Commerce"
room: "Track 2"
speakers: ["Nidhi Kaushik Vyas"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Agentic Commerce"
scheduleRoom: "Track 2"
scheduleLabels: ["Agentic Commerce", "Track 2", "sponsor", "confirmed"]
---
# Designing Multimodal Collaborative Agents for Next-Gen Commerce

## Conference Context
- Date/time: 2026-07-01 · 10:45am-11:05am
- Track/room: Agentic Commerce · Track 2
- Speaker(s): Nidhi Kaushik Vyas
- Session type/status: sponsor · confirmed

- Track: Agentic Commerce
- Room: Track 2
- Session type: sponsor
- Status: confirmed

## Session Description
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.

## Media Evidence
No related AI Engineer channel video found yet.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
No linked video, transcript, or slide source has been attached yet.

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

## Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

## People
- [[nidhi-kaushik-vyas]]

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

## Synthesis
### Synthesized Breakdown
# Designing Multimodal Collaborative Agents for Next-Gen Commerce ## Conference Context - Date/time: 2026-07-01 · 10:45am-11:05am - Track/room: Agentic Commerce · Track 2 - Speaker(s): Nidhi Kaushik Vyas - Session type/status: sponsor · confirmed - Track: Agentic Commerce - Room: Track 2 - Session type: sponsor - Status: confirmed ## Session Description 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.

### Speaker And Company Context
- [[nidhi-kaushik-vyas|Nidhi Kaushik Vyas]] — Product at [[google-deepmind|Google DeepMind]].

### Topics Covered
- [[agentic-search]]
- [[ai-sandboxes]]

### Derived Links And Source Material

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.