Agentic Commerce

At Google I/O 2026 a virtual try-on built on the Gemini Omni multimodal model was demonstrated as a flagship use case: a customer sees themselves wearing the product, in motion, in their own photo, generated in real time. The point for retail and real-estate businesses in the UAE is bigger than the demo. Every product category where the buying decision used to require a showroom, a sample, a fitting room or a site visit — beauty, fashion, eyewear, jewellery, watches, furniture, paint, kitchens, real-estate fit-outs — can now be experienced inside a browser tab or a WhatsApp chat.

Big Lab builds that experience for your brand. An agentic commerce flow holds a conversation with the customer about what they are looking for, generates a personalised preview against their photo, their room or their selfie, fetches matching SKUs from your live catalogue, answers questions about ingredients, sizing, lead time or availability, and closes the sale — or hands a high-intent buyer to a human concierge with full context. The output is a measurable lift on conversion, average order value and return rate for the highest-margin categories of your store.

For the broader agent-architecture context see AI Agents; for the production app implementation of these experiences see AI Agent Apps.

Realistic virtual try-on did not become commercially credible until late 2025. Three shifts changed the equation: omni-modal models (Gemini Omni from Google, GPT-4o from OpenAI) that can generate consistent video and image edits from a reference photo; per-image generation costs that dropped to fractions of a cent on streaming infrastructure; and on-device acceleration that brings inference latency below one second on a modern phone. The combination makes a try-on flow viable as a conversion tool, not just a brand-marketing toy.

For UAE retail this matters because the categories that drive margin — beauty, fashion, eyewear, watches, fit-outs — are the categories where the customer either gets to try, or buys somewhere else. A credible virtual try-on closes a gap between online and store conversion that local brands have been carrying since the start of e-commerce. The interesting work in 2026 is not whether to build the experience but how to build it brand-grade — with your photography, your assets, your shade library, your fit logic — rather than with a generic stock-image generator. That is the work Big Lab does.