· via TechCrunch
Daydream turns camera-roll outfit photos into shoppable results with Apple Intelligence
Daydream's new iOS 27 features use Apple Intelligence to identify outfit pieces in saved photos and serve shoppable matches, plus let users search the catalog through Siri without opening the app.

Daydream, an AI-driven fashion discovery app, has released two features that let iPhone users shop the outfits sitting in their camera rolls and run clothing searches through Siri, all without launching the app. According to TechCrunch, the features arrived on Monday, the same day Apple's iOS 27 developer tools became available.
The update requires an iPhone running iOS 27 with Siri AI switched on, plus the Daydream app, which is free to download on iOS.
Shopping from the Photos app
The first feature taps Apple's image-context capabilities to work with pictures already stored in the Photos app. Daydream examines an outfit image, picks out the individual pieces — a sweater, trousers, shoes or accessories — and surfaces shoppable matches and similar styles drawn from a catalog of roughly 3 million products.
A screenshot saved from Instagram or Pinterest can serve as the starting point for a search. If the exact garment in the picture is still on sale, Daydream traces it back to the retailer selling it; when it is no longer available, the app offers lookalike alternatives instead.
The feature also handles modification requests. Julie Bornstein, Daydream's co-founder and CEO, told TechCrunch that a phrase such as "I like this sweater but want it in red" is the kind of instruction the system can interpret and act on.
Siri as the front door
The second feature is a natural-language search surface built on Siri. Users can speak or type a request — TechCrunch gives the example "Hey, Siri, search Daydream for a cool blazer for my board meeting on Monday" — and receive personalized results without opening Daydream.
Personalization deepens for people who have filled out the app's "Style Passport," a profile covering sizes, preferred brands, personal style and budget.
A crowded field
Daydream is not alone in rethinking product discovery with AI. TechCrunch notes that Google and Amazon, along with smaller players such as Onton and Alta, are building comparable shopping tools. Bornstein argues that most visual search products lack fashion-category expertise, returning results that feel inaccurate, come from brands that lack credibility, or link to images that cannot actually be purchased.
Daydream launched its app last year and says it now has more than 1.5 million shoppers browsing products from over 325 retailers and 10,000 brands. Its retail lineup spans Anthropologie, Dolce & Gabbana, Uniqlo, J.Crew, Reformation, Gucci and Nordstrom.
Why it matters
The launch is an early, concrete case of a third-party app hooking into Apple Intelligence at the operating-system level, shifting shopping from a dedicated app to system-wide surfaces such as Siri and the Photos library. If the pattern spreads, discovery increasingly happens wherever the user already is — a screenshot, a voice command — rather than inside a storefront.
It also marks a step toward Daydream's stated long-term goal. Bornstein frames the new features as groundwork for a shopping agent that understands a person's style well enough to work across every surface in their life, not just one, with the company planning to push further into on-device intelligence and the everyday moments where people discover things they want. For brands and retailers, visibility in these ambient, AI-mediated surfaces may increasingly decide where product discovery — and revenue — actually happens.
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