The notion of being fashionable changes from time to time, making fashion itself an extremely dynamic phenomenon. In such a fast paced industry where the success of next season’s collection hinges on picking the right colors, fabrics, patterns, and shapes, Big Data is a big deal.
Researchers at the F.A.I. group aim to leverage Big Data analytics to understand which trends are gaining momentum and which ones are losing ground at any point in the fashion life cycle. Tapping into thousands of designer runway reviews, weblogs, as well as millions of likes, comments, shares, tweets, pins, and Instagrams about what’s hot and what’s not, we use a combination of theoretical, computational, and statistical approaches to better understand the dynamic nature of fashion trends.
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