OpenAI is adding virtual try-on and Favorites to ChatGPT, turning its shopping experience from a one-time recommendation tool into a more persistent platform for product discovery, personalization and potential commerce.
From recommendations to a shopping relationship
TechCrunch reported that OpenAI is rolling out features that allow users to preview clothing and accessories on themselves using their own photos. The update also introduces a Favorites library, where users can save products they may want to revisit later.
The strategic importance is larger than the feature list suggests. Product recommendations are easy for competitors to replicate, but a shopping assistant that remembers visual preferences, saved items and previous interests can become part of a user’s purchasing routine. OpenAI is therefore moving ChatGPT closer to the role occupied by retailer apps, search engines and shopping marketplaces.
Virtual try-on could make that shift more valuable. A user considering a jacket, pair of shoes or accessory may no longer need to leave the conversation to form an initial opinion. The system could help narrow choices based on a person’s image, style preferences and stated budget. That gives ChatGPT a stronger chance of influencing the purchase before a retailer has established a direct relationship with the customer.
The commercial advantage for OpenAI
For OpenAI, the feature creates more opportunities to understand shopping intent. A user asking about a product is expressing interest, but a user who uploads a photo and saves several items is providing a much stronger signal. Over time, those signals could support more relevant recommendations and create potential value for retailers seeking qualified buyers.
The Favorites library is particularly important because it gives users a reason to return. ChatGPT can become a place to collect ideas across different brands instead of a tool used only for isolated questions. That repeat engagement could strengthen OpenAI’s position if the company eventually develops advertising, affiliate commerce or direct transaction services around shopping.
However, the business model remains unclear. The announcement does not specify whether purchases can be completed inside ChatGPT, which retailers are supported, or whether brands will pay for placement or referrals. Those details will determine whether the feature becomes a useful discovery layer or a meaningful commerce business.
Privacy could determine adoption
The use of personal photos also introduces a higher level of sensitivity than ordinary product search. Users will reasonably want to know how images are stored, how long they remain available, whether they are used to improve OpenAI’s models and how they can be deleted.
Those questions are not secondary product details. They could directly affect adoption, particularly when images may reveal a person’s appearance, home environment or other personal information. OpenAI will need to make consent and data controls clear if it wants users to treat ChatGPT as a trusted shopping companion.
Saved Favorites create a separate data concern. A library of products can reveal a user’s tastes, income range, lifestyle and purchase intentions. That information could improve recommendations, but it also raises questions about whether OpenAI will use it to rank commercial results or create new forms of targeted promotion.
Retailers face a new gatekeeper
For brands, ChatGPT could offer another route to customers who are already describing what they want in natural language. That may reduce dependence on traditional search and give smaller retailers a chance to appear in highly relevant conversations.
The tradeoff is control. If product discovery increasingly happens inside ChatGPT, retailers may lose visibility into the customer relationship. OpenAI could become the interface that decides which products users see, save and ultimately purchase.
The rollout schedule, regional availability and retailer support have not been detailed. Those execution questions will determine whether OpenAI has built a useful shopping feature or the foundation of a new competitive layer between consumers and commerce companies.
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