Daydream, a fashion discovery app, released two new features on Monday, allowing iPhone users to transform saved outfit photos into shoppable results. The features are built using Apple’s iOS 27 developer tools, which officially rolled out today.
The app reported that it can analyze outfit images, identify individual pieces, and automatically surface shoppable matches from its catalog of roughly 3 million products. This means a screenshot of an outfit from Instagram or Pinterest could become the starting point for a shopping search.
The first feature uses Apple’s image-context capabilities to break down images into relevant items, such as a sweater, pants, shoes, or accessories, and match them with products available through its collection. "I like this sweater but want it in red," for example, is the kind of request Daydream can understand, said Julie Bornstein, co-founder and CEO of Daydream.
The second feature is a Siri-powered natural-language search function. Users can make requests by voice or text through Siri without opening the Daydream app. A user could say, "Hey, Siri, search Daydream for a cool blazer for my board meeting on Monday," and Daydream would provide results personalized to them.
The announcement follows Daydream’s broader bet on AI-powered fashion shopping. The company sees these new features as more than stand-alone shopping tools, with a longer-term ambition to build a shopping agent.
Daydream did not say how it will handle variations in user preferences beyond what is described, and it remains to be seen how well the app will perform in real-world scenarios. The app is free to download on iOS devices.
Source: techcrunch
