Posts tagged Fit Matching
Fitle

Fitle is a French start-up that offers both Virtual Try-on and Fit Matching. 

"The idea was born from a simple fact: today, in a physical store, you can try on clothes before buying them. However, it is impossible to do online. This is one reason why 25% of the clothes are returned to the e-retailer in France.  In Fitle, after 3 years of R & D, we have developed solutions that allow e-shoppers to buy with confidence and the ready-to-wear brands to improve their conversion rates and reduce their rate of return."

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Styliff

Styliff is a revolutionary virtual dressing app that allows users to try on clothes, purchase them and share outfits with friends. Your online shopping gallery, your personal stylist and your dressing room, all packed into this futuristic mobile and web app.

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3D-A-Porter

We offer accurate measurement data and 3D visualization solutions to improve online and offline fashion sales, while securing less returns and an increase in brand loyalty. We give customers a positive virtual try-on shopping experience and fashion brands exciting PR opportunities. Our 3D body scanning solution for public sector uniform manufacturing reduce the cost of production in the short- and long-term.

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Nettelo

"Capture and interact with your body in 3D, all as easy as taking and sharing photos. Each body is unique, get to know yours – back to front and top to bottom – in 3D with Nettelo.  Nettelo helps you choose perfectly-fitted products, track how your body changes over time and much more – all with one free app."

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Body Labs

At Body Labs we unlock the human body as a digital platform. We are the first and only company to use artificial intelligence (AI) and machine learning algorithms to deliver the most accurate and versatile 3D digital body shape in the world. With the body model we bring physical body shape into the digital world."

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Fit Analytics

Using machine learning algorithms, the Size Advisor uses sales records from over 10 million monthly users to calculate the right size for your customers. Information about which articles are kept and which are returned is used to continuously improve the recommendations.

Currently live on The North Face website!

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