'Coded Couture' is a new project by fashion label Ivyrevel that will use machine learning software to create personalized dresses. The project, which is a partnership between the computer scientists at Google and the H&M-owned Ivyrevel, will tailor dresses for users based on an analysis of their behaviour completed by Google's Awareness API.
The Coded Couture dresses, which are called Data Dresses, use information gathered over the course of a week in order to create a dress that best suits its wearer's lifestyle. During the week, the app will collect data about things like local weather, its users typical commute and travel routes, and activities like social events and dining. Users can then choose a dress option — for work, for parties, or for formal events — and Coded Couture will create a dress that users can buy.
Key Themes Behind This Trend
- Personalization Through AI
- The use of machine learning and data analysis to personalize clothing designs and other products for consumers.
- Data Collection for Tailored Products
- The gathering of user data to inform and tailor product designs, such as clothing.
- Machine Learning in Fashion
- The integration of machine learning technology into fashion and apparel design.
Where This Applies
- Fashion Industry
- AI and machine learning could disrupt the traditional fashion industry by enabling personalized, data-informed clothing designs.
- Technology Industry
- The development of machine learning and data analysis algorithms for use in the fashion and apparel industry.
- Retail Industry
- Retailers could leverage AI and machine learning technology to improve their personalized product offerings and customer experiences.
