When Julie Bornstein was the E-Commerce leader there Nordstrom In the 2000s, he saw a world where online shopping would one day live according to the promise to facilitate personal experience for each store.
“I just remember to think one day I would like to build a platform for the search and discovery that helps you find the right things,” he told Luck In an interview earlier this month.
For the next few decades, in the executive responsibilities in Nordstrom, Urban outfitters. Sephorawith a sewing fix, and as the founder of the styles of styles, which he sold to Pinterest In 2022, Bornstein approached his goal.
But on Wednesday, the 52 -year -old Bornstein reveals what he considers to be a complete manifestation of his quarterly vision to this day. IT Comes in the system of the AI style discovery and shopping market called In the afternoonwhich is launched in Beta one year after Bornstein first announced a 50 million seed investment.
“This is the climax of everything I've seen and done,” Bornstein said. “I've been waiting for that technology to get it.”
For Bornstein, the first seeds for the idea of daydream It came in 2022 when the chatgpt emerged at the scene and began training Internet users whose written questions, exposed to common language, could provide detailed answers and comments and suggestions facilitated by large language models, or LLM.
Now, Bornstein's Daydream is trying to shoot many fashion products and retailers, as well as ask-for anything like a chatgpt and problem, by creating a striking experience to discover new fashionable outfits in a low and personal way. Anyone who wants this first cracks can take advantage of the first mover to create a very hard -working, with high -use users that attract the products of partners and retailers who do not want to miss the new growth center.
At launch, customers who walk on Daydream.ing (no app yet) are first greeted by a column of human questions (name, date of birth, gender), followed by questions about their size, favorite brands, and budget (the fact that low price is headed. Event, emotion, or product you buy today? ”
This question is accompanied by a large print box, which is visible intentionally to find questions that are taller than the simple word of the main word. In this author's brief testing, the system quickly gave good results to a few questions-and orders to follow when they were stimulated: “Finding improvements I can wear for a children's sports game but also leave the fun dinner.”
As soon as you write one query, the system creates a flood of product images, each shown in rectangular tiles, which take two -thirds of the page.
Daydream agent – or the experience of conversation – point to the left side of the screen and asks questions to try to stimulate feedback to further reduce the results (users can also hit the products they like, and ask for something like that at different prices, or offer other types of comments such as, “I like this style but you want to see different fabrics.
To buy the product, click from the Daydream at the seller or the brand's own website. .
“You can see us as a threat to them, but not,” Bornstein said. “Everyone is so tired that they are very reliant Google And Facebook for new users. ”
Daydream has enrolled around 200 partners so far, most of them are clothing products -From Nike For Madewell, and from luxury labels like Chloe to Khaite-Khando of 15 brand retailers, as well as Nordstrom and Net-A-porter. Starting charges the appeal fee when the day user continues to make purchases from them, although Bornstein did not provide a special county. He allowed that their rate is higher than the corporate network transfer fee – which can range from 5% to 10% in style – but lower than other fees charged by the prestigious market, which can exceed 30%.
These suppliers and retailers provide a startup and list of their products list, which Daydream then enriches with additional features to help its AI agent make quality suggestions in response to balanced questions. At launch, the results of the Daydream are influenced by examples of several small languages, each of which handles certain product characteristics, such as paint or fabric.
Bornstein believes that while the conversation of each AI conversation and experience experience, such as that of chatgpt or difficulty or Gemini, can be popular for products related to products in groups such as television or hair, where it causes and answers often focus on details rather than style and taste. But he also believes that the effect of production with the AI agent on purchase is moving so quickly that it has not yet achieved what achievements can come in the future, or it is recently.
“I think the e-commerce path will change it's hard to imagine,” Bornstein said. “What we have created today is a bridge among the places where it has been … and where is it going.”