Fashion app Daydream uses Apple Intelligence to help you shop the outfits in your camera roll

Details

Daydream launched two features built on iOS 27's developer tools, released the same day. The first uses Apple's image-context API to analyze outfit photos already in a user's camera roll — breaking down individual pieces (sweater, pants, shoes) and surfacing shoppable matches from Daydream's 3-million-product catalog. If the original item is no longer available, the app surfaces similar alternatives. It can also handle variation requests: 'I like this sweater but want it in red.' The second feature routes natural-language shopping requests through Siri without requiring the app to be open. Users can say something like 'find a cool blazer for my board meeting' and receive personalized results, with further personalization available if users complete Daydream's 'Style Passport' profile (sizes, brands, budget, style preferences). Daydream competes with Amazon, Google, and smaller players like Onton and Alta. CEO Julie Bornstein argues most visual search tools lack fashion category expertise, returning inaccurate or non-shoppable results. The company frames both features as steps toward a larger shopping-agent vision that operates 'across every surface' in a user's life. This is primarily a consumer story, but it illustrates how iOS 27's developer APIs are enabling app-level AI integrations on day one.