Case Study: Kravet achieves higher sales and faster, more accurate product searches with ViSenze Search by Image

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Preview of the Kravet Case Study

Kravet Uses Image Recognition to Drive Higher Sales for Its Home Decor Products

Kravet, a home furnishings brand with over 90 retail outlets across the US and Canada, faced the challenge of managing hundreds of thousands of product samples—fabrics, furniture, wall coverings, trimmings, carpets and accessories—and needed to drastically improve staff productivity and search efficiency to find exactly what clients wanted.

ViSenze’s Search by Image lets users upload a photo to find matching or similar carpets, wallpapers, fabrics and flooring in Kravet’s database, eliminating ineffective keyword guessing. Built on an AWS-powered microservice architecture for speed and agility, the solution delivered faster, more accurate searches, increased staff efficiency and ultimately helped drive higher sales.


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