Use Case

Trend Scouting

Ecommerce & Retail Services

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

1

Process

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”.

2

Algorithm

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.

3

Decision

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