Audio Fashion: Using Music to Personalize Shopping

The menswear company, Eison Triple Thread, just released an app that recommends its users’ clothes based on the music they listen to. The app connects to a user’s Spotify account and analyses their ‘most liked’ music genres and favorite artists. With this information, the app claims to understand the emotions behind a user’s style choice with the ability to recommend the best possible fashion style for them. This is just one of many ways personalized commerce is manifesting in the world.

As personalization continues to grow and evolve in commerce, people will expect services to create individual experiences. Accor Hotels used traveller’s biometric data to suggest their ultimate destinations. L’Occitane is using machine learning to personalize their mobile site. These as well as the Eison Triple Thread example shows there are a multitude of ways to infuse personalization along the shopper journey.

Contributed By: Lukas Quittan, Integer London

Image Source: Unsplash