Two well-dressed men

There’s a fashion game that crowdsources fashion sense from its community and then gives it to you: After community members rate which specific items (shoes with pants, pants with shirt, necklace with shirt) go with which other specific items, the app uses that information to create various outfit pairings. Then the community rates which of these outfits are the hottest, allowing everyone to see which styles work and which ones don’t. Machine learning also steps in to offer you ways to complete your outfit, basing its suggestions on data generated by your user community.

It’s not only helpful for you, it’s also helpful for retailers. They can see what trends are hot while the season is moving, instead of gathering outdated data in an industry that moves rapidly. Retailers don’t have to wait for actual inventory to move before they see what people like, and this can save them from buying a product that their customers won’t buy.

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Fashionable woman in India

If you want to be the embodiment of the latest Bollywood fashion wherever you go, there is an AI for you. Fashin AI will scan the latest Bollywood YouTube videos and find you items of apparel you can purchase online that will match with the latest trends. Become your inner Bollywood.


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woman holding a purse

Prada? Gucci? Fendi? Balenciaga? Luis Vuitton? Goyard? Dior? Wal-Mart?

If you can spot the non-luxury brand above, you’ve taken your first step to becoming AI that can spot a luxury purse from a knock-off. Now if you can do the same thing in 30 seconds by just looking at the purse itself, you could do the job of Entrupy AI. But it might be a tough job—Entrupy AI gets it right 98 percent of the time, and well-made mimics aren’t nearly as obvious as the list of words above.


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woman holding fashion sunglasses

At this point, it shouldn’t be surprising that brick-and-mortar retail stores are getting pinched as more and more shopping moves online. But using AI is one way these stores can regain lost sales.

Billions of dollars of fashion-merchandise revenue come through Alibaba’s websites every year, and with the massive amounts of data this traffic generates, Alibaba has developed FashionAI, a way these stores can use this data to make more sales.

So what does this artificial intelligence application do exactly? Alibaba recommends outfits to in-store users based on the store’s inventory, and it’s even tapped into the tastes of designers and fashion moguls that frequent Alibaba’s sites. It looks like this: you walk into a clothing store and pick up an eye-catching piece of clothing. As you near the changing room, a poster-sized screen nearby detects the article of clothing and recommends other articles of clothing that pair well with your current choice, helping you build the perfect outfit efficiently. Essentially, FashionAI just became your personal stylist.

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You’ve spied a shirt you really like, but it’s more than you’re interested in spending on a piece of clothing. Is there an easy way to find it for less? Not yet, but soon. In early 2018, Gauss, a Japanese AI company in the fashion industry, will launch its new tool that takes a picture it’s given and finds similar items for sale. Initially, though, it’ll only be for fashion companies, but soon the company’s aim is to offer you, the consumer, a version.
See it at work here.

As if acquiring a grocery chain wasn’t enough, Amazon has its sights on the fashion industry, and it’s developed a fashion designing AI that can create new clothing styles after analyzing photos of current trends. As you can imagine, some people are worried about this.

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