Every time I visit any Fashion events, this has been one of the topics that often come up.
Can Artificial Intelligence AI replace fashion designers?
Fashion designer thinks it can not but tech folks say it can be done.
So I started researching into what has been done and found 3 great examples for you. I want to give you a glimpse of what Amazon, Stitch Fix, and Myntra have been doing and using AI to design clothes.
Amazon: AI fashion designer
The effort points to ways in which Amazon and other companies could try to improve the tracking of trends in other areas of retail—making recommendations based on products popping up in social-media posts, for instance. And it could help the company expand its clothing business
* “There’s been a whole move from companies like Amazon trying to understand how fashion develops in the world,” says Kavita Bala, a professor at Cornell University who took part in a workshop on machine learning and fashion organized by Amazon last week.
A number of forward-thinking retailers are already using social networks like Instagram and Pinterest to track the latest fashion trends and react quickly.
An Amazon team at Lab126, a research center based in San Francisco, has developed an algorithm that learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch—essentially, a simple AI fashion designer.
This work uses a cutting-edge tool called a generative adversarial network, or GAN. It consists of two deep neural networks operating in tandem to learn efficiently from raw data. The GAN internalizes the properties of a particular style simply by looking at lots of examples, and it can then apply that style to an existing item of clothing.
The in-house brand of subscription fashion startup Stitch Fix, Hybrid Designs employs a data science team that works with the company’s order data to predict which clothes customers will want to wear. The team identifies viable gaps in the company’s inventory—clothes that people would buy but a designer hasn’t made yet, says Stitch Fix chief algorithm officer Eric Colson.
It works like this: A collection of three algorithms generate a starting point. The first algorithm picks three “parents,” recommended pieces of clothing that could be either combined or used as a template for a new piece.
The second suggests three different attributes that have been shown to complement the parents’ style—maybe a different neckline or sleeves.
And the third throws in a little bit of randomness, a suggestion that isn’t typical for the previously suggested style but might be interesting. Together, these algorithms search through a space of 30 trillion potential combinations of, for example, blouse attributes, to ultimately give just nine suggestions.
Myntra - Moda Rapido
Algorithms that would get their machines to produce images of T-shirts based on the discovered favorable attributes.
It turned out that one category of the machine-created designs outsold the comparable category in each of the other 12 private brands owned by Myntra. Some of the other machine-created designs sold poorly, but the company knew they were onto something really big.
“The core of the Rapid idea was to do fast fashion in an intelligent way, given that we have both a tech and a fashion DNA,” said Kenghe. “In the initial phase of the project, there was less machine and more designer-input. Over a period of time, there’s been more machine and less supervision.”
Here&Now & Moda Rapido:
By September, Moda Rapido and Here&Now were together bringing in sales of Rs12-13 crore every month, making them among the top 15 brands at Myntra. The two contribute 12.5% of Myntra’s private brand's sales, said, Narayanan. Moda Rapido and Here&Now are Myntra’s most profitable brands,
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