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Home Artificial Intelligence

AI Fashion Chatbot Daydream Converts Chat to Commerce

Paul Balo by Paul Balo
June 25, 2025
in Artificial Intelligence, Service news
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What if buying clothes online felt less like scrolling a never-ending catalogue and more like texting a stylist friend? That’s the promise behind Daydream, the AI-fashion startup from e-commerce veteran Julie Bornstein that just opened its public beta. Armed with $50 million in seed funding from Forerunner, Index and Google Ventures, Bornstein—whose résumé runs from Nordstrom and Sephora to Stitch Fix and Pinterest-acquired The Yes—believes natural conversation is about to replace the search bar as online shopping’s front door. 

Visit Daydream.ing and the first thing it asks is to “say more.” Instead of dropping keywords, new users build a “style passport” that lists go-to brands, sizes and fit quirks. From there the chatbot takes over, tapping a catalogue of 8,500 labels and two-million products to surface suggestions that evolve as you up-vote, down-vote or upload inspo photos straight into the chat. Behind the curtain, Daydream’s generative-AI layer tags every garment with objective fields (colour, fabric, length) and subjective nuance (“good for tropical weddings,” “office-appropriate in winter”) so the bot can leap from “I need a red dress” to “Here are five cocktail options that pack wrinkle-free.”

The killer feature is inventory awareness. Because Daydream pipes directly into partner feeds—Net-a-Porter, Uniqlo, Alo Yoga, Mejuri and thousands more—it checks stock in real time before recommending an item, then kicks you to the retailer’s own checkout. The startup takes a 20 percent commission on each sale but refuses pay-to-play listings, hoping to win consumer trust the way Google once did for information search. 

For shoppers, that means less thumb-numbing scroll and fewer dead links; early testers say the conversation feels closer to an SMS thread than a bot interrogation, especially when the assistant remembers that you hate viscose linings or that you sized down in last season’s trousers. For fashion brands drowning in acquisition costs, Daydream dangles a different carrot: show up in contextually perfect moments with zero ad spend. If the model scales, the platform could become the affiliate engine retailers quietly root for—and the discovery layer Amazon, Google and TikTok can’t quite crack for apparel.

Yet the path isn’t friction-free. Daydream must convince users to try (and trust) a brand-new domain, refine its AI so mismatched sizes don’t erode credibility, and prove it can keep product feeds accurate across thousands of SKUs. Bornstein hints that true “agentic AI” is on the roadmap, where the bot will finish checkout on your behalf and track shipments end-to-end. For now the goal is simpler: turn small talk into the web’s most potent checkout button and, in the process, make fashion discovery feel a little more human again. If Daydream pulls that off, chatting up your closet might soon be as routine as asking Siri for the weather.

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Tags: ai chatbotdaydreamecommerce
Paul Balo

Paul Balo

Paul Balo is the founder of TechBooky and a highly skilled wireless communications professional with a strong background in cloud computing, offering extensive experience in designing, implementing, and managing wireless communication systems.

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