Almost a year after collecting a mega round of $ 50 million, e-commerce veteran Julie Bornstein's Startup Dream He releases chatbot powered AI for shopping.
After testing the product with selected users, the company on Wednesday spends chatbot to all users in the public beta version. People can sign up for chatbot, which will ask them their name, date of birth, the price range in which they buy, and brand preferences if they exist.
You can enter a query, such as “I want the dress to get married this summer in Paris” or send a picture and add more context through the text to search for the clothing element.
Users can save any element in the collection they create or improve the search by entering chatbot on the left. If they like an item but want to modify some aspects, such as colors or style, they can touch the “Say more” button visible on any element to edit the search.
Based on the parameters of provided users during implementation and opinions that the application receives from them, saves various elements. Dream Dream creates a stylish passport for them, which drives many suggestions. The internet application also shows daily inspiration for items and accessories that probably match your taste.
At the moment, Daydream has no integrated cash flow, so when the user clicks the element, he is redirected to the Seller's website to complete the transaction. The startup charges a percentage of cut -out from each sale. Daydream said that during the premiere it has over 8,000 brands on the platform, and the company implemented new buyers for free.
Bornstein, who held managerial positions in companies such as Nordstrom, Urban Outfitters, Sephora and Stitch Fix, said that last year the company worked on technology to introduce a catalog of various brands in one place and rework the search for AI.
“Working in electronic trade throughout my career, the search was always a forgotten child and it never worked very well. In a sense, people were trained to be very narrow in the way they were looking for anything in the fashion world. And even with my earlier startup we could not force people to go beyond a kind of” red dress “-said Bornstein.
“But after starting GPT in chat, you know, consumers began to train, how to think about potential hints. So we try to help you ask what you want to ask, whether I have the opportunity, whether I am looking for this need, or I am looking for a very specific kind of things,” she said.
Maria Belousova, who joined the company this year as CTO, said that Daydream did a lot of work on understanding the nuances of objects in the catalog. She said that traditional search only showed buying items based on tags matching their keywords, which does not work in today's world where customers ask longer queries.
“We do a lot to understand product details, such as knowledge of stylistic attributes, such as decorations, silhouette, and even social attributes, such as the one who wore this dress, such as the bride and groom or guest at the wedding. We also use visual visual recognition to satisfy detailed queries in which the customer describes the exact product they want,” said Belousova.
Over the following year, Daydream will allow users to provide a more pronounced feedback tool, for example “don't show me four -inch heels.” He also plans to experiment with a function that will allow users to ask for a good match with an existing item with personalized suggestions. In addition, he wants to lean into the aspect of social networking, allowing users to share the saved items to friends and family to buy suggestions. Another feature that Daydream thinks is to adopt an existing collection of another user and modify it for your own needs using artificial intelligence.
While the Daytream team has many years of e-commerce experience and focuses on fashion, startups such as a foundation and cherry also build a multimodal shopping search. Meanwhile, technological giants such as Amazon and Google focus on functions that use artificial intelligence to search for many sites and find the right element for users.
