sold to Pinterest<\/a> in 2022.\n <\/p>\n\n \u201cThey don\u2019t have the people, the mindset, the passion to do what needs to be done to make a category like fashion work for (AI) recommendations,\u201d Bornstein said. \u201cBecause I\u2019ve been in this space my whole career, what I know is that having the catalogue that has everything and being able to show the right person the right stuff is what makes shopping easier.\u201d\n <\/p>\n
\n Already, Daydream has raised $50 million in its first round of funding from investors including Google Ventures and model and Kode With Klossy founder Karlie Kloss.\n <\/p>\n
\n The free platform operates sort of like a digital personal stylist. Users can type in what they\u2019re looking for in natural language \u2014 no Boolean search terms required, thanks to its AI text recognition technology \u2014 or upload an inspiration photo. Then, Daydream will surface recommendations from more than 8,000 brand partners, ranging from Uniqlo to Gucci. Users can then continue chatting, just like they would with a chatbot, to refine the search; for instance, by asking for more casual or less expensive options. As users spend more time on the platform, it will start to tailor recommendations based on what they\u2019ve searched for, clicked on and saved.\n <\/p>\n
\n When they\u2019re ready to buy, shoppers are directed to the brand\u2019s website to complete their purchase, and Daydream will take a cut of the sale. Unlike many of the other big players in e-commerce, Bornstein is eschewing ads-based rankings \u2014 she wants products to show up on recommendation pages because they\u2019re a likely fit for the customer, not because brands have paid for them to be there.\n <\/p>\n
\n \u201cAs soon as Amazon started doing paid sponsorships, I\u2019m like, \u2018How can I find what the real good product is?\u2019\u201d she said. \u201cWe want this to be a thing where we get paid when we show the customer the right thing.\u201d\n <\/p>\n
\n On a recent CNN test of Daydream, a search for \u201cwhite, fitted button-up shirt for the office with no pockets\u201d led to a $145 cotton long-sleeve from Theory that fit the bill. But the recommendations aren\u2019t always perfect \u2014 a search for \u201cmother of the bride dress for a summer wedding in California\u201d returned, among more formal styles, several slinky slip dresses, including in white, that seemed more suited to a bachelorette party.\n <\/p>\n
\n Bornstein said the company continues to refine its AI models and collect user feedback.\n <\/p>\n
\n \u201cWe want data on what people are doing so we can focus and learn where we do well and where we don\u2019t,\u201d she said.\n <\/p>\n
\n Part of that work, she added, is training the AI model to understand what it means when users say, for example, they\u2019re looking for a dress for a trip to Greece in August (it\u2019s going to be hot) or that it\u2019s for a black-tie wedding (it should be formal).\n <\/p>\n
\n Daydream launched its web version to the public last month, although it remains in beta testing, and plans to release an app this fall.\n <\/p>\n
\n In the future, Bornstein said she expects people to use AI not just for shopping but for a range of fashion needs, such as pairing items they\u2019re shopping for with existing pieces in their closet.\n <\/p>\n
\n \u201cThis was one of my earliest ideas, but I didn\u2019t know the term (generative AI) and I didn\u2019t know a large language model was going to be the unlock,\u201d she said.\n <\/p>\n","protected":false},"excerpt":{"rendered":"Facebook Tweet Email Link New York \u00a0\u2014\u00a0 As anyone who\u2019s scoured the internet for a bridesmaid dress knows,…\n","protected":false},"author":2,"featured_media":25816,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[62,276,277,49,48,61],"class_list":["post-25815","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-ca","tag-canada","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/25815","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/comments?post=25815"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/25815\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media\/25816"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media?parent=25815"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/categories?post=25815"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/tags?post=25815"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}