Artificial Intelligence influence on Fashion
What is Artificial Intelligence
Artificial Intelligence is simply the development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
What is Fashion
Fashion it itself is a popular or the latest style of clothing, hair, decoration, or behaviour.
Artificial Intelligence and Fashion
This is simply the use of technology as an aid to achieve Fashion.
Record has shown that AI-based design has at times missed the mark, fashion retailers have adopted a new mindset of viewing AI systems as creative partners rather than independent designers.
Record shows that In 2018, Tommy Hilfiger announced a partnership with IBM and the Fashion Institute of Technology. The project, known as “Reimagine Retail,” used IBM AI tools to decipher:
- Real-time fashion industry trends
- Customer sentiment around Tommy Hilfiger products and runway images
- Resurfacing themes in trending patterns, silhouettes, colors, and styles
Knowledge from the AI system was then served back to human designers, who could use it to make informed design decisions for their next collection.
In this light, Such a use case is no longer tale today. Heuritech, for instance, offers an AI platform that analyzes millions of images to spot hues, cuts, shapes, and thousands of other fashion elements to predict how trendy they will become up to 1 year in advance. It might, for example, forecast the popularity of a certain color in the US next season. Brands like Dior use Heuritech to validate their intuitions about upcoming trends, while manufacturers like Wolverine Worldwide use it to gauge whether or not consumer demand is rising for specific products.
How Artificial Intelligence Influences Fashion
Artificial Intelligence is so important because With machine learning, you can predictably know where to take up to 80% of your collection. You’re left with 20% of the collection to know what you can innovate. There’s now so much more white space for the design team to be more creative. Brad Lacey, global design director in lifestyle footwear at New Balance, a Heuritech client Stitch Fix is already at the forefront of AI-driven fashion with its “Hybrid Design” garments. These are created by algorithms that identify trends and styles missing from the Stitch Fix inventory and suggest new designs based on combinations of consumers’ favorite colors, patterns, and textiles for human designers’ approval.
The company has said that the AI-designed pieces perform comparably in “keeper” sales to the garments from its fashion-brand suppliers. That’s likely because Stitch Fix has vast troves of customer data informing its AI, thanks to its subscription-based, feedback-focused business model.
“We’re uniquely suited to do this,” says Eric Colson, chief algorithms officer at Stitch Fix. “This didn’t exist before because the necessary data didn’t exist. A Nordstrom doesn’t have this type of data because people try things on in the fitting room, and you don’t know what they didn’t buy or why. We have this access to great data and we can do a lot with it.”
Design isn’t the only area where Stitch Fix is putting AI and machine learning (ML) initiatives to work. Along with 5,000 stylists, the company employs a team of almost 150 data scientists to oversee ML algorithms that are used to inform everything from client styling to logistics to inventory management.
According to Colson, the company is already seeing ROI from its AI investments, including increased revenue, decreased costs, and improved customer satisfaction. Stitch Fix reported net revenue of $581M in the first quarter of its fiscal 2022, up 19% year-over-year (YoY).
However, Stitch Fix’s success is not only attributable to its machine workforce.
For all the initial fanfare about AI, Stitch Fix has found that the more humans got involved in training ML models, the more customers they won over. While the startup mentioned the word “algorithm” 76 times in a 2017 listing document, its executives mentioned it only once during an investor call in summer 2021. Stitch Fix doubled its number of human stylists from 2017 to 2021.
With more rigorous, human-led training, AI “assistance” programs will continue to advance and become more accurate. The insights they generate will help brands make smarter strategic decisions around product development and new business lines.
3D design platforms like CLO also make it easy to tweak designs on the fly through real-time garment simulation. These allow brands to use real-time AI insights to modify fashions right up to the minute they hit production.
Below, we illustrate how tech is automating fashion design as styles become more personalized and influenced by digital signals.
Similar to Amazon’s Lab126 initiative and Google’s Project Muze, scientists from UC San Diego and Adobe have outlined a way for AI to learn an individual’s style and create customized computer-generated images of new items that fit that style.
The system could enable brands to create personalized clothing for a person based solely on their engagement with visual content.
At a more macro level, it could also allow a brand to recognize broader fashion trends much earlier based on data from its user base. The data could be used to guide the design of a product or an entire label.
True Fit, for example, partners with retailers to facilitate capabilities like AI-powered fashion discovery and exact-fit clothing and shoe recommendations. With over 180M registered users, the platform uses transaction data to determine customer preferences that “better personalize all touchpoints of the consumer journey” for brands, according to CEO William Adler.
Virtusize, another company capitalizing on the smart fitting trend, enables online shoppers to buy the right size, either by measuring the clothes in their closet or by comparing specific brands and styles to their own.
Virtusize claims that, by removing uncertainty around size and fit, it can increase average order values by 20% and decrease return rates by 30%. The Japan-based company counts Balenciaga and Land’s End among its clients, as well as Zalora — a leading online fashion store in Asia.
Artificial Intelligence influence on Fashion
The confluence of AI, 3D scanning, AR, and computer-generated imaging will usher in the next era of fashion, which is all about personalization and prediction based on consumer preferences. With more and more data, algorithms will become trend hunters — predicting (and designing) what’s next in ways that have never been possible.
No doubt that the impact of AI has really influenced the fashion world today and is still influencing. it is really easy to get into the fashion world without acquiring a degree on that by just building a skill in the desired area of fashion by means of personal development from the online technology tools such as youtube and so on. it has also make stiches very easy because of new and modern evolution of machinery that help to deal with accuracy and precision of cutting and stiches with a minimum time.
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