Tech Fashion Designing

By: Bank of Baroda
Thu Oct 15, 2020
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The pandemic like everywhere else has also inspired new trends in the fashion industry. The latest trends focus more on luxury at home as there aren’t social occasions to dress up for. A "waist-up" focus has been noticed at both Milan and London Fashion Weeks, with detailed necklines and relaxed trousers, clothes that suit video calls and remote working. The designs are said to project contemporary human relationship with technology.

As per a CB Insights report, at $2.2T, the fashion sector is also one of the largest industries in the global economy and today, fashion technology is growing at a faster pace than ever. More than ever before, fashion brands of all sizes and specialties are using technology to understand customers and design fashion for catering to their specific needs. There’s no doubt that spotting and designing fashion trends are much easier and cost effective with the usage of technology.

The use of AI alongside ML, Deep Learning, NLP, Visual Recognition and Data Analytics can be used to reduce errors in trend predictions and forecast trends more accurately which would reduce the amount of clothing produced and then unused.

In 2017, an Amazon team in San Francisco created an unnamed AI “fashion designer”. They developed an algorithm that analyses images and duplicates the style, making new items in similar styles. 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.

The collaborative project of IBM and the Fashion Institute of Technology known as “Reimagine Retail” used IBM AI tools to indicate real-time fashion industry trends, themes in trending shapes, colors and styles.

The application of technology such as Microsoft’s Azure programme and spatial anchors in fashion’s design processes is still in its early stages, but the technology is effective in enabling designers to rethink their design process, move past creative constraints and achieve more sustainable workflows and practices.

Historically, fashion trend forecasting solely relied on the past dynamics to predict its future. New methodologies like Heuritech predict future trends by applying image recognition technology to social media pictures for accessing shapes, prints, colors and attributes to fabrics.

Similarly, With the help of AI and Computer Vision, Stylumia draws information from images, user behavior data, textual descriptions from social media and other data sources to aid fashion professionals around the world in making informed decisions about the direction of their brand.

We believe that clearly more R&D is needed before brands rely on tech -only designers. But emerging technologies are already helping brands create and iterate their designs more efficiently.

Credits : Akhil Handa

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