Shazam For Clothes? Yes, Please!

Exciting news for fashion and tech lovers. According to reports, retailer John Lewis will be soon launching a “Shazam for clothes” – a service that will be incorporated in its existing iPad app.

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The image recognition software to be debuted by John Lewis, called findSimilar, was developed at Imperial College in London by Dr Anil Bharath and Dr Jeffrey Ng at the Department of Bioengineering.

According to the same sources, this new technology allows customers to spot clothes they like and identify similar – or even the same – ones at the retailer’s stores. Much like the original Shazam app, findSimilar will show users the closest or exact match in terms of shape, colour and size.

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John Lewis is not the first retailer to take advantage of this ground-breaking technology. US department store Macy’s, Net-a-Porter and Zalando all have already adopted findSimilar, although to which level of extent, still remains unclear.

With users relying heavily on online search, to find, shop, and share their fashion musings, it is only a matter of time for retailers to align and delight their customers with technology updates.

It wouldn’t be unrealistic to say that we should expect retailers offering social media connectivity along with such tools. In fact, it would make perfect sense to be used by sites that drive e-commerce traffic – like Pinterest for example. In fact, Pinterest also recently debuted an enhanced search feature, which helps users find similar items when they search for pins.

John Lewis is preparing to debut a “Shazam for clothes” on its app. Exciting!

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