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Source: Project MuzeAs those data collection efforts grow more sophisticated, artificial intelligence will reshape brands’ approach to product design and development, with a focus on predicting what customers will want to wear next.Outside of fashion, manufacturers are already using AI to generate out-of-the-box prototypes for products ranging from aircraft parts to golf equipment. Wearable tech: Jewelry, apparel, & footwearProduct Design Tech is automating the fashion designerFashion brands of all sizes and specialties are using technology to understand customers better than ever before. What’s Next? High-Tech Fashion Trends To Watch AR/VR redefines the online and in-store experience From ownership to usership: The rise of clothing-as-a-service D2C fashion brands shun physical retail
In 2017, the e-commerce giant patented a manufacturing system to enable on-demand apparel-making. One Amazon project, led by Israel-based researchers, would use machine learning to assess whether an item is “stylish” or not.Another, out of Amazon’s Lab126 R&D arm in California, would use images to learn about a particular fashion style and create similar images from scratch.If that sounds like “fast fashion by Amazon,” that’s because it probably is. AI Becomes The DesignerGoogle has already tested the waters of user-driven AI fashion design with Project Muze, an experiment it deployed in partnership with Germany-based fashion platform Zalando in 2016.The project trained a neural network to understand colors, textures, style preferences, and other “aesthetic parameters,” derived from Google’s Fashion Trends Report as well as design and trend data sourced by Zalando.From there, Project Muze used an algorithm to create designs based on users’ interests and aligned with the style preferences recognized by the network.Amazon is innovating in this area as well.
In April 2019, an AI “designer” called DeepVogue placed second overall and won the People’s Choice Award at China’s International Fashion Design Innovation competition. This quickly drew criticism and allegations of copyright violation and IP theft.Nevertheless, the gap between AI-developed designs and human-made ones is closing. In 2019, for instance, it was unveiled that a number of online T-shirt vendors were deploying bots to scrape images (under which people had commented “I want this on a T-shirt” or the like) and uploading them to marketplaces to be produced and sold on-demand. Many designs created for users of Google’s Project Muze were unwearable scrawls and scribbles, while some reports on the Amazon Lab126 initiative called the design results “crude.”Furthermore, using algorithms to generate clothing has backfired at times.
Design Clothes Software Series Of Steps
In the last step, designers model these 2D patterns using computer-aided design (CAD) software and produce fashion patterns that can be used to sew clothing items.An example of a dress design generated by Synflux’s software. Then, machine learning algorithms analyze the collected data to come up with garment patterns intended to reduce fabric waste. The team, consisting of designers and software engineers, built a tool that creates customized clothing in a series of steps.First, the software 3D scans a body to capture its proportions.
The project, known as “Reimagine Retail,” used IBM AI tools to decipher: How AI Is Influencing BrandsIn 2018, Tommy Hilfiger announced a partnership with IBM and the Fashion Institute of Technology. But today’s artificial intelligence is already helping brands create and iterate their designs more quickly.
That’s likely because Stitch Fix has such vast troves of customer data informing its AI, thanks to its subscription-based, feedback-focused business model.“We’re uniquely suited to do this,” said Eric Colson, chief algorithms officer at Stitch Fix. 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 details how it works (shown below) in the “Algorithms Tour” on its website.The company has said that the AI-designed pieces perform comparably in “keeper” sales to the garments from its fashion-brand suppliers. Resurfacing themes in trending patterns, silhouettes, colors, and stylesKnowledge from the AI system was then served back to human designers, who could use it to make informed design decisions for their next collection.“Reimagine Retail was a powerful example of what happens when fashion partners with a global tech leader to advance challenging innovations.” — Michael Ferraro, director of the FIT/Infor DTech LabStitch Fix is already at the forefront of AI-driven fashion with its “Hybrid Design” garments.
The Japan-based company counts Balenciaga and Land’s End among its clients, as well as Zalora — a leading online fashion store in Asia.Ultimately, consumer preferences will guide every aspect of the design and production process. 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%.
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