We Understand Fashion A.I.

ImSim - Recommend Similar Items

Challenge 
Find visually similar items across massive fashion or e-commerce catalogs.
Solution 
Dedicated to your product catalog, ImSim leverages a deep neural network to return similar items quickly and at scale.
Impact
Customers search for items, not for text descriptions or packaging. ImSim helps your customers find exactly what they want to purchase.

Fashion Recs - Fashion Recommendations [No training required]

Challenge 
Make high quality product recommendations with no client training data.
Solution 
Fashion Recs leverages millions of fashion interactions to predict which items go together in any fashion catalog.
Impact 
With no training required, Fashion Recs can help companies bring scalable personalization to market faster than any solution currently available.

TagRecs - Tag-Based Recommendations

Challenge 
Make attribute-based recommendations to users from any fashion or e-commerce catalog without training.
Solution 
TagRecs quickly indexes large fashion catalogs and allows fast, scalable queries with multiple layers of filtering.
Impact 
Customers can quickly find items they’re looking for, filtering against price, brand, description and thousands of automatically-extracted image attributes.

Color IQ - Fast Fashion Color Extraction

Challenge 
Extract colors from every item in a product catalog while ignoring background colors and handling multi-color complexity.
Solution 
ColorIQ accurately extracts colors from images allowing tools like Fashion Recs to create outfits with complementary colors.
Impact 
Accurate color extraction is currently a very expensive and manual, time-consuming process. Color IQ is designed to help companies leverage color for every item in real time, across big catalogs.

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