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OpenAI Rolls Out Virtual Try-On and Shopping Tools in ChatGPT

e-commerce virtual try-on ChatGPT multimodal AI Generative AI retail tech
October 01, 2026
Source: TechCrunch AI

This summary and analysis were generated by AI from the original article at TechCrunch AI and may contain errors (how Viqus works). Read the source for full details.

Viqus Verdict Logo Viqus Verdict Logo 5
Expected E-commerce Integration
Media Hype 6/10
Real Impact 5/10

Article Summary

OpenAI has expanded ChatGPT's utility into e-commerce with the global release of two key shopping features: virtual try-on and a product favoriting system. The virtual try-on feature allows users to upload selfies or photos to visualize how clothing or accessories might look on them, while the Favorites function enables users to curate a personal library of saved items. These updates are powered by the newly released ChatGPT Images 2.5 model, which OpenAI claims improves lighting, texture rendering, and reduces latency. Furthermore, the assistant can now help users shop by describing desired styles or by identifying purchasable items from celebrity outfits, directly challenging established platforms like Pinterest and Google in the fashion discovery space.

Key Points

  • The new virtual try-on feature allows users to visualize clothing and accessories on their own photos using ChatGPT.
  • A 'Favorites' function has been added to help users save and revisit products discovered during shopping sessions.
  • The integration leverages the improved ChatGPT Images 2.5 model, enhancing image quality and reliability for commerce use cases.

Why It Matters

This move signals a deeper integration of generative AI into the consumer commerce journey, moving beyond simple search or recommendation. While the functionality is notable, it represents an expected maturation of AI assistants into transactional tools. The real competitive threat isn't the feature itself, but how effectively OpenAI can embed this experience into the user's existing shopping workflow without feeling like an intrusive ad layer, especially given Google's prior efforts in this area.

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