OpenAI has expanded the capabilities of its conversational artificial intelligence assistant with the rollout of two new shopping features designed to streamline the online retail experience. Available globally, the latest updates include a virtual try-on function for apparel and accessories alongside a dedicated favoriting system that allows users to curate and save items for future reference.

Driving these new shopping tools is the newly introduced ChatGPT Images 2.5 model. According to developers, this upgraded model delivers significantly reduced image generation latency, enhanced texture richness, more realistic lighting, and improved adherence to complex editing instructions. The virtual try-on capability allows individuals to upload a selfie or full-body photograph, prompting the AI to generate a visualization of how specific garments or accessories would look on them via a dedicated button in the shopping interface. Alternatively, shoppers can upload screenshots of desired items and request the assistant to simulate the look.

Complementing the visual try-on tool is the new Favorites feature, which stores discovered products within an in-app library alongside generated try-on images. Beyond these specific additions, the AI assistant enables broader shopping functionalities, such as generating complete outfits based on descriptive style preferences or identifying purchasable items from uploaded celebrity photographs.

By stepping into visual discovery and fashion inspiration, the platform is entering a competitive landscape long dominated by established giants like Google and Pinterest. While the company continues to refine consumer use cases after scaling back previous initiatives like instant checkout, the success of these new commerce tools will depend on consumer adoption in a market where rivals already offer similar augmented shopping features.

Key Takeaways

• OpenAI launched global virtual try-on and favoriting features for ChatGPT to enhance online shopping.
• The new tools are powered by the ChatGPT Images 2.5 model, which offers better textures and lighting.
• Users can upload selfies or full-body photos to see how clothes look, positioning the AI against Google and Pinterest.

Editor’s Analysis & Impact

The integration of advanced visual shopping tools into conversational AI marks a significant pivot toward monetizable consumer use cases. As generative AI moves past basic text generation, companies are aggressively staking claims in the lucrative e-commerce and digital retail ecosystem. By introducing features like virtual try-on and visual search, AI providers are directly challenging search engines and discovery platforms that have historically controlled the top of the retail funnel. However, user retention and trust will be the ultimate hurdles; shoppers are accustomed to dedicated retail apps and established search ecosystems. If OpenAI can successfully reduce latency and improve the accuracy of visual rendering, it could fundamentally shift how consumers discover, evaluate, and purchase fashion online, forcing traditional tech giants to accelerate their own AI-driven retail innovations.

Frequently Asked Questions

Q: How does the virtual try-on feature work in ChatGPT?
A: Users can upload a selfie or a full-body photo, or share a screenshot of a clothing item. By clicking the 'Try On' button in the shopping results, ChatGPT uses its image generation model to visualize how the item looks on the user.

Q: What technology powers the new shopping features?
A: The new shopping features are powered by the ChatGPT Images 2.5 model, which provides improved texture richness, natural lighting, and faster image generation.

Q: Can I save items to look at later?
A: Yes, a new Favorites feature lets you save discovered products and try-on images to a dedicated library within the app for future reference.