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Almost a year after lifting A huge seed tour of $ 50 millionVeteran in e -commerce, Julie Bournstein, startup Wake Dreams Self -powered Chatbot is released to shop with fashion.
After testing the product with chosen users, the company will issue a chatbot today for all users in a general experimental version. People can subscribe to Chatbot, which will be asked for their name, the extent of births, the price range in which they shop, and the brand preferences, if any.
You can write a query like “I want to wear the dress for the wedding this summer in Paris” or download a picture and add more context through the text to search for a clothing element.
Users can save any element in a group they create or improve their research in Chatbot on the left side. If they love an element but they want to adjust some aspects, such as colors or elegance, they can click on the visible “Say More” button on any of the items to free the search.
Based on the parameters offered by users while moving and comments from which the application gets, it saves different elements. Wake dreams create a pattern passport that leads many suggestions. The web app also shows you a daily inspiration for the elements and accessories that may match your taste.
Currently, Daydream does not have an integrated exit flow, so when the user clicks an element, it is redirected to the merchant site to complete the transaction. The start starting takes a percentage of each sale. Daydream said that at launch, it contains more than 8000 brands on the platform, with the company on the new merchants for free.
Burnstein, who held executive positions in companies such as Nordstrom, Urban Outfitters, Sephora and Stitch Fix, said last year, the company was working on technology to bring a group of different brands to one place and renew the research to suit artificial intelligence.
“After I worked in e -commerce throughout my career, the research was always the forgotten child, and it never succeeded in some aspects, people were trained to be very narrow in the way they are looking for anything in the fashion world. Even with the start of the previous playback, we could not make people go beyond something like” red dress. “
“But once GPT chat, you know, consumers began to train on how to think about the potential of the claim. Thus, what we are trying to do is help you allow you to ask everything you want to ask, whether I have an occasion, or I have this need, or I’m looking for this very specific type of things,” she said. “
Maria Pelosova, who joined the company this year as CTO, said that the awakening dreams did a lot of understanding the nuances of the elements in the catalog. She said that traditional research showed only the elements of shoppers based on the signs of their main words matching, which do not work in today’s world, as customers ask for longer inquiries.
“We do a bit to understand the details of the product, such as knowing the features of the style such as motifs, silhouette, or even social features such as those wearing this dress, such as the bride or guest at a wedding. We also use visual recognition of the image to satisfy the detailed information where the customer describes the exact product he wants.”
Over the next year, the daydreaming of users will allow users to give the tool more clear comments, such as “Do not show me any four -inch heel.” You also plan to experience a feature that allows users a good matching request with an existing element with custom suggestions. In addition, he wants to tend alongside social participation by allowing users to share the elements saved with friends and family to obtain suggestions to buy. Another feature that is thinking about awakening dreams is to take an existing group of another user and adjust them for their own needs to use artificial intelligence.
While the awakening team has years of experience in e -commerce and focuses on fashion, such as startups such as Maher and Cherry They also build a multimedia search for shopping. At the same time, like technology giants Amazon and Google It focuses on the features that use artificial intelligence to search on multiple locations and find the right element for users.