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Trend Scouting

Use Case

Trend Scouting

An algorithm can analyze thousands of influencer styles and outfits and predict next season's trends.



Thousands of styles, outfits and items of influencers are analyzed for trend scouting in order to identify the trends of the new season early and to be able to reliably forecast the demand for "must-haves”.



Machine learning algorithms analyze images from social media channels (Instagram, Snapchat, Facebook), fashion magazines and other sources to check for defined "properties" such as color, patterns and material.



The algorithm develops the "trend probabilty" for individual dressets based on "properties" and trend score of influencers on the basis of their categorization.

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