OpenAI launches two ChatGPT shopping features: a virtual try-on tool for clothing and accessories, and a Favorites feature to save products to a user's Library

You can now virtually try on clothes using ChatGPT, which was previously a capability offered by competitors like Google.

OpenAI has launched two new shopping-focused features for ChatGPT, aiming to enhance the online shopping experience. The first, a virtual try-on tool, allows users to upload photos of themselves to see how clothing and accessories would look, or to upload images of items and ask ChatGPT to visualize them on a person. This feature leverages OpenAI's new ChatGPT Images 2.5 model, which reportedly offers improved image generation quality and speed. The second feature, Favorites, enables users to save products they are interested in to a dedicated Library within the app for later review. These additions signal OpenAI's continued exploration of practical AI applications in e-commerce, building on its previous experiments in this domain.

OpenAI's introduction of virtual try-on and a product favoriting system indicates a strategic push to integrate ChatGPT more deeply into the e-commerce customer journey. By incorporating advanced image generation capabilities, the company aims to provide a more visually engaging and personalized shopping experience, potentially capturing market share from platforms like Pinterest and Google that currently dominate fashion discovery and inspiration. The success of these features could set a new standard for AI-driven retail interactions, influencing how consumers discover and evaluate products online. This move also suggests a broader trend towards AI agents becoming more sophisticated in understanding and responding to user needs within specialized domains like fashion retail. The virtual try-on tool, in particular, addresses a significant pain point in online apparel shopping by bridging the gap between digital browsing and the physical experience of trying on garments. OpenAI's investment in improving its image generation models for this purpose highlights the growing importance of visual fidelity and user control in AI applications. As more companies explore similar integrations, consumers can anticipate a future where AI assistants play an active role in product visualization and personalized recommendations, potentially leading to increased conversion rates for online retailers and a more informed purchasing process for shoppers. The saved items functionality further supports this by streamlining the path from discovery to decision-making.