US brand Finesse uses AI and customer votes to determine designs

A ready-to-wear brand in the US is using artificial intelligence to define tomorrow's trends and fight against waste and overproduction. Using new technologies, Finesse creates outfits modeled in 3D, which are then submitted to customer votes. Only those that gain widespread approval are actually produced. It's a kind of manufacturing on demand -- or almost -- that could help the industry reduce its environmental footprint.

Artificial intelligence has already been used in the fashion industry to help brands better manage their inventory and supplies, deal with returns or improve the online customer experience. But this technology evidently still has more to offer. In the United States, the ready-to-wear brand Finesse has made artificial intelligence the basis of its creative process in order to manufacture only what customers are actually interested in buying.

Production on demand

It is precisely to fight against this overproduction that Finesse proposes a concept essentially based on artificial intelligence. The brand uses specific algorithms to analyze the most popular fashion trends on the internet, and from these inspirations, it proposes three potential outfits modeled in 3D -- thus requiring no fabric -- that are then submitted to a public vote. The outfit that wins the most votes is the only one that is put into production, the other two being automatically eliminated. 

"We only produce what you want. Vote now and items are ready for shipment within two weeks," promises the brand on its official website. "We use AI to predict how much to produce, no waste, no overages, and no pollution," the brand continues. With this system, Finesse effectively only makes the clothes that will sell, and significantly reduces waste and surplus fabric use, while saving on unnecessary production.


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