AI Monday®

AI in Fashion: How each drives the other forward

— AI and Retail
| June 22, 2020
Christopher Gandrud focussed Fashion, the summation of aesthetic choices of individuals about what to wear. These choices are influenced by the social environment, including design, manufacturing, distribution, and marketing of fashion articles. Fashion presents considerable challenges for AI due to this complexity of topics and constantly changing fashion trends. These challenges drive AI forward. At the same time, AI has brought much to fashion and there is considerable potential to change even more. AI can improve what clothing options are available and accessible. Making it easier for people to find clothes that fit them well and that they feel great wearing and sharing. It can help reduce the environmental impact of fashion through more efficient manufacturing methods and optimised delivery. Christopher shared those benefits, many of which are already offered at Zalando, but also about how to be aware of the potential pitfalls of fashion AI and work to avoid them. For example, if implemented poorly, fashion AI could undermine data privacy or speed up unsustainable manufacturing practices.

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