OpenAI has introduced two new shopping capabilities for ChatGPT, enabling users globally to virtually try on apparel and accessories using photos and save favorite products for easy future access.
- Virtual try-on lets users upload photos to see clothing on themselves
- Favorites feature saves products and try-on images in a personal library
- ChatGPT can find and assemble outfits from style descriptions or celebrity photos
What happened
OpenAI has rolled out two global shopping features for ChatGPT, introducing a virtual try-on option and a Favorites library. Users can upload selfies or full-body images to visualize how clothing or accessories might look on them directly within their chat experience. They can also upload photos of items found online to see these virtually on themselves via a new Try On button in shopping results.
Additionally, the Favorites feature lets users save discovered products along with their try-on images in a Library inside the app, facilitating easier access and organization of preferred items. Both updates leverage the new ChatGPT Images 2.5 model which enhances realism with better lighting, texture, faster generation, and accurate editing.
Why it matters
These new features position ChatGPT as a more interactive and helpful shopping assistant, blending conversational AI with practical tools for online fashion discovery and decision-making. By allowing virtual try-ons and easy product saving, OpenAI addresses key consumer challenges around fit visualization and product tracking during online shopping.
The move also puts ChatGPT in direct competition with platforms like Google and Pinterest that have dominated fashion inspiration and virtual try-on technologies. OpenAI’s approach combines search, discovery, and visualization in a singular conversational interface, which could reshape how users approach online purchases.
What to watch next
It will be important to observe how consumers adopt these shopping features within ChatGPT given earlier attempts by OpenAI and other AI firms to push shopping recommendations met with mixed reactions. User comfort with uploading photos and reliance on AI for style advice will affect traction.
Future developments could include improved personalization, expanded product categories, and deeper integration with e-commerce platforms. Monitoring competitive responses from Google and others in AI-powered shopping experiences will also reveal the direction and pace of mainstream adoption in this space.