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In-Bedroom Fashion Stylist

WHAT IS THE IN-BEDROOM FASHION STYLIST? The In-Bedroom Fashion Stylist helps your shoppers decide how to wear their clothes. Right in their bedrooms! HOW IT WORKS In the video above, you can see our colleague Maria asking the In-Bedroom Fashion Stylist what to wear with her black jacket, and the In-Bedroom Fashion Stylist returning that […]

Build with shoppers’ taste data

Our Approach When shoppers interact with a fashion retailer, they generate taste-based data. We encourage fashion retailers to retain that intelligence and use it to build a competitive moat around their business. We help fashion retailers build that type of infrastructure. Because we are certain that the future of fashion will be build on top […]

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Our unsupervised learning model

Capturing, refining and providing valuable output through fashion digital interfaces Background: Chicisimo built the interfaces and infrastructure to help people find what outfit to wear, and what garment to buy. We focused on (i) creating input interfaces that allow people to express a need; on (ii) building the data system that understands and responds to […]

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Taste Profiles of each shopper

WHAT IS A TASTE PROFILE? A Taste Profile summarizes the taste of an individual shopper, what clothes she has in her closet, and what are the drivers behind her purchases. OUR SERVICES We help you build a Taste Profile for each of your shoppers, as part of your Taste Graph. Taste Profiles include: 1. We help you […]

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Clothes classifier

We have built a system to “classify clothes” automatically, with 175 million classified and correlated meta-products. This system allows us to automatically understand, manage and act upon any collection from any retailer (similarities, correlations, recommendations…) To explain it easily, this system is like a brain that understands clothes and outfits, and allows you to organize […]

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Omnichannel Personalization with a Fashion Taste Graph

Omnichannel Personalization with a Fashion Taste Graph allows retailers to understand and classify each product in their catalogue, and each of their shoppers. How did we build our Fashion Taste Graph for Omnichannel Personalization Through Chicisimo’s consumer apps, we’ve received millions of described outfits, the described clothes in millions of closets, and hundreds of millions […]

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Fashion ontology

Our fashion ontology is our tool to understand products and people, and we built it to respond to very specific needs in our mobile apps. Why we built our fashion ontology? Fashion lacks a standard to classify clothes or to refer to the variety of concepts that describe products, styles, and personal fashion preferences. At […]

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Online discovery – Products & Outfits

Provide ideas on how to combine your collection, and the clothes in the shopper’s closet, or similar products OUR SERVICES There are tons of providers of product recommendations out there, and if you want a traditional recommender, we suggest you get in touch with any of them. Our interest goes well beyond that scope. We’d […]

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Outfit Recommender for Physical-Stores

WHAT IS THE IN-STORE OUTFIT RECOMMENDER? The In-Store Outfit Recommender helps shoppers understand how a product they are about to buy, matches the clothes in their closet at home. THE PROCESS In the video above, you can see our colleague Maria looking at clothes at a physical store, and how the In-Store Outfit Recommender recommends […]

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Smart Virtual Closet Technology

We have built and shipped to 5M users a smart virtual closet that allows women to easily digitize most of their clothes in minutes. We have learnt that with this approach, the shopper is absolutely retained. Our Smart Virtual Closet Technology allows your shoppers to digitally store all their physical clothes, without any friction, in their […]