With StyleSnap Amazon Fashion launches this week a tool for image recognition in Germany and Great Britain on the market.

StyleSnap is designed to make shopping easier for consumers by simply uploading a photo and comparing it with similar products available from Amazon Fashion.

John Boumphrey, Vice President of Amazon Fashion Europe, said in a press release, “We are constantly striving to create new experiences. We want our customers to discover products they want and love. StyleSnap allows users to visually search for products that have inspired them. We are excited to see how customers react.”

Generated product recommendations

StyleSnap uses images uploaded by users to generate product recommendations. A variety of factors such as brand, price range and customer ratings are included. The tool is initially applied to dresses, tops, bottoms, shoes and bags. In the future, however, the range for customers is to be expanded even further.

More and more use is being made of visual searches

The visual search is not new, but it is a function that is becoming more and more mainstream in the fashion world. It gives consumers an easier way to find what they’re looking for. According to MarketWatch, 62% of millennials and Gen-Z want to use visual search more than any other technology, according to MarketWatch. Up to 600 million visual searches alone currently take place every month on Pinterest.

In addition to Amazon, ebay, Farfetch, Forever 21, Asos, Boohoo and Marks & Spencer are also currently testing the potential of visual search.


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Link: amazon

Image: istock