![]() Of course, the outcomes of human-free AI design aren’t always runway-ready. The tech could be used to support its Amazon Essentials line or the suppliers in Amazon’s logistics network. In 2017, the e-commerce giant patented a manufacturing system to enable on-demand apparel-making. If that sounds like “fast fashion by Amazon,” that’s because it probably is. One Amazon project, led by Israel-based researchers, would use machine learning to assess whether an item is “stylish” or not.Īnother, 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. 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.įrom there, Project Muze used an algorithm to create designs based on users’ interests and aligned with the style preferences recognized by the network.Īmazon is innovating in this area as well. Google 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. Generative design software is expected to be a $44.5B market by 2030, per CB Insights’ Industry Analyst Consensus. Outside of fashion, manufacturers are already using AI to generate out-of-the-box prototypes for products ranging from aircraft parts to golf equipment. If there’s anything that fashion houses’ experiments have shown, it’s that human involvement is crucial to harnessing the insights provided by AI and translating them into appealing, wearable clothes. But algorithms aren’t taking the place of human designers any time soon. Source: Project MuzeĪrtificial intelligence will reshape brands’ approach to product design and development, with a focus on predicting what customers will want to wear next. Product design Tech is automating and augmenting the fashion designerįashion brands of all sizes and specialties are using technology to understand and anticipate market demand and respond swiftly with trendy designs and customizable styles. ![]() What’s next? High-tech fashion trends to watch.Rethinking fashion from end to end to achieve circularity.Back to the drawing board: New earth-friendly textiles.Recyclable garments & reinvented recycling plants.Resale platforms as sustainable alternatives.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.RFID for verification, automation, & online integration.3D printing personalized apparel products.Get the full future of fashion report Table of Contents In this report, we dive into the trends reshaping how our clothes and accessories are designed, manufactured, distributed, and marketed. Meanwhile, as the industry faces a long-overdue reckoning with its environmental and social impact, it is reexamining processes across the value chain in an attempt to reinvent itself. Seizing the opportunity to open more revenue streams and business models, fashion companies are partnering with technology providers, snapping up startups, and even building their own tech. Robots that sew and cut fabric, AI algorithms that predict style trends, clothes to be worn in virtual reality - an array of innovations show how technology is automating, personalizing, and speeding up the fashion space. The fashion sector is also one of the largest industries in the world, estimated to be worth more than $3T by the end of the decade, according to CB Insights’ Industry Analyst Consensus.Īnd today, fashion technology is growing at a faster pace than ever. Like tech, fashion is forward-looking and cyclical. Fashion has always been at the forefront of innovation - from the invention of the sewing machine to the rise of e-commerce.
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