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Made-To-Wear Menswear Company Recommends Suits Based On Customers’ Spotify Taste

Made-To-Wear Menswear Company Recommends Suits Based On Customers’ Spotify Taste
Fashion & Apparel

The service is the brainchild of custom clothing designer Julian Eison and creates personalized style recommendations based on the customer's favorite artists

Todd Neikirk
  • 31 july 2018

Trying to pick out just the right suit can be a difficult process for men. Julian Eison, custom menswear maker to the stars, wants to make the process easier in an unusual way: The designer created an app called FITS that recommends clothing choices based on the user’s Spotify information.

According to Eison, “It’s a unique take on the recommendation engine that everybody else is using because you can infer a lot from people’s music choices. We start with Spotify information and then use collaborative filtering to understand the emotions behind your style choice.”

The application accesses customers’ Spotify account as well as has them fill out a lifestyle quiz and provide other data like their profession and skin color. This allows the service to provide work-appropriate clothing and proper colors tailored to each individual’s case and needs. The service also attempts to match the suggestions to the styles of the clients favorite artists.

Once the user is given recommendations, they respond to their likes and dislikes with emoticons. Eison Triple Thread provides custom clothing, so the client is then fit for the styles they have selected. The application debuted this week and can now accessed via Eison Triple Thread’s website.

FITS Application


Lead image: Eison Triple Thread via Facebook

Trying to pick out just the right suit can be a difficult process for men. Julian Eison, custom menswear maker to the stars, wants to make the process easier in an unusual way: The designer created an app called FITS that recommends clothing choices based on the user’s Spotify information.

+app
+Fashion
+Menswear
+retail
+Shopper education & assistance
+Spotify

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