StyleSnap will guide users to websites where they can buy the clothes they like from
Remember Season 4 of the television sitcom The Big Bang Theory where Penny asks Sheldon to build an application to locate where people can buy their favourite shoes from? Well, now there is actually an app that will help satiate all your fashion needs.
Earlier this month, online retail giant Amazon launched an artificial-intelligence powered tool that would function just the way Penny had envisioned her unique shoe app. “Just snap a picture of it and the app goes on the internet to find out where you can buy them.”
To make a deeper inroad into the fashion sector, Amazon has built this application named StyleSnap that will guide users to websites where they can buy the clothes they like from.
Much like a Shazam (app for identifying songs) for clothes, StyleSnap is built into Amazon’s mobile application. Users can either take photos or source the picture of something they want to buy and upload it on the app, which will then use machine learning to “match the look in the photo” and look for similar garments being sold on Amazon.com.
The application was launched in Las Vegas by Amazon’s consumer worldwide CEO Jeff Wilke. While launching the AI-powered tool, he said: “The simplicity of the customer experience belies the complexity of the technology behind it.”
However, the services offered by StyleSnap won’t be a novelty as lots of other websites offer similar services, including Asos, the online fashion giant. Only time will tell if the tool will be able to live up to Amazon’s claims. It is usually easy for AI-powered tools to identify basic garments such as boot-cut denim or say a basic white t-shirt. Identifying niche items of clothing, which the consumers themselves find difficulty locating, poses the real challenge as of now.
This is not Amazon’s first attempt at venturing into and exploring the lucrative fashion and textile market. In the year 2017, the online retailer introduced an AI-powered camera named the Echo Look, which was supposed to give users fashion recommendations. However, according to a report by The Verge, the software made frequent mistakes, often not being able to identify various clothing items and throwing up the same tips repeatedly.