"We shop with our eyes, so why not search with a photo?" asks Jenny Griffiths, founder and CEO of Snap Fashion, the fashion search engine that uses pictures instead of words.
Her idea was born out of her frustration at trying and failing to find affordable equivalents to the designer clothes she found in fashion magazines. When regular search engines failed to quench her affordable fashion thirst - there are after all only so many ways you can describe an item of clothing to Google - the 26-year-old realised that her quest would be markedly easier if she could just submit a photo of the item she was searching for.
Snap Fashion obviously meets a shopper-need, but savvy NAMs will appreciate that there is a much bigger idea lurking here…
In other words, this is all about pattern and shape recognition. So anytime you see an ornament, poster, piece of furniture, hairstyle, gadget, or even a foreign-language version pack of a ‘well-known’ brand and ‘you don’t like to ask’, a simple pic will help you to find an affordable source..
In fact, all it would take is for a company called Amazon to adapt the software to their site to flesh out the real potential….
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