The Yes

Women's Retail Fashion Platform From Wikipedia, the free encyclopedia

THE YES is a retail app and platform that focuses on women's fashion and clothing. Its algorithms analyze user data in order to optimize product personalization.[1][2] THE YES has headquarters in New York City and Silicon Valley, California.[3]

IndustryFashion, retail
Founded2018; 8 years ago (2018)
Founders
  • Julie Bornstein
  • Amit Aggarwal
Headquarters,
United States
Quick facts Industry, Founded ...
THE YES
IndustryFashion, retail
Founded2018; 8 years ago (2018)
Founders
  • Julie Bornstein
  • Amit Aggarwal
Headquarters,
United States
Owner
Websitehttps://www.theyes.com
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On June 10, 2022, THE YES was acquired by Pinterest, Inc.[4]

History

THE YES was founded in 2018 by former Stitch Fix COO Julie Bornstein and Amit Aggarwal, formerly of Bloomreach.[5][6] The app began development in 2018 and was released in May 2020.[7]

At launch, THE YES was the first app to use Apple's App Clips in iOS 14.[8]

Although THE YES originally started out as an app, in 2021 the company also launched the same functionality on their website.[9]

In 2025, cofounder Julie Bornstein launched Daydream, an AI-powered fashion shopping platform.[10][11]

Description

The Yes uses AI technology to curate a feed of fashion product recommendations based on a user's individual preferences. Upon downloading the app, users will be asked a series of questions to determine their aesthetic preferences.[12][13] These include questions about preferred brands, colors, styles, and sizes.[14] Users can also vote "yes" or "no" to signify whether they like a product being shown.[15][16] The platform's algorithms tailor recommendations based on this information.[17]

In 2021, The Yes started allowing users to invite friends to view their liked items and provide feedback via emojis.[18]

The Yes has more than 250 brands,[19] 40 of which are plus-size.[20] The Yes has brands such as Prada, Ralph Lauren, Levi's, Bottega Veneta, and Zara.[21]

The Yes offers price matching and price filtering, but does not use traditional shopping filters.[22]

References

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