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StyleSage unveils new online trend features for retailers
Oct '17
Courtesy: StyleSage
Courtesy: StyleSage
StyleSage, an IT firm for the fashion industry, has unveiled two trend features, Social Media Image Recognition and Search data, for more accurate and data-driven trend forecasting. Retailers can remove the guesswork and de-risk their decisions on what to bring to market, by pairing design details of influencer posts against consumer search behaviour.

The Social Media Image Recognition feature enables one to pinpoint and quantify, via cutting edge image recognition and machine learning technology, which garments, colours, and design attributes are emerging on social media. With influencer data that is also geo-segmented, one can see precisely where and when trends are rising in popularity and get the right product to market sooner.

The image recognition-based technology is paired with search data which tells one what stage a trend is at and whether one should buy into it. StyleSage’s tool connects the dots by combining search data, geographic mapping of peak interest, and social media and editorial visualisations, to enable profitable product development and design decision-making.

The key product features include image recognition, which extracts garment type, colour, and design attributes at the individual post and aggregated level; geo-targeted influencer data; search and filter by brand and keyword tags; historic search data; pairing of search data with influencer posts to highlight a trends’ various applications; and editorial visualisations for product development and design inspiration. (GK)

Fibre2Fashion News Desk – India

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