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Selectionnist bring fashion media and m-commerce even closer with mobile app launch

Eirwen WilliamsEirwen WilliamsNovember 11, 2014 at 4:03 AM0
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selectionnist3

Launched in early 2014 by Dealissime cofounders Tatiana Jama and Lara Rouyres, Selectionnist seeks to bridge the gap between ecommerce and brands featured in fashion magazine print ads and articles. While the first iteration of Selectionnist started as a site where via search consumers could find and, ultimately, buy clothes, shoes, other accessories, and other items they found in magazines, they’ve just launched a mobile app which creates a much stronger link between fashion discovery and sales.

Their mantra…’See it, Find it, Shop it’

Using image recognition fashion-lovers can now download and enter the ‘FLASH’ area of the new app, take a simple photo of an item they like in a magazine, and be directly redirected to a site to find and/or purchase the item. The founders partnered with the French National Institute of Information and Automation (the INRIA) to move well beyond the more standard approaches to seen in m-commerce such as QR codes to bring something truly innovative and disruptive to the mobile shopping experience. As Jama and Rouyres point out, 65% of online shopping starts on mobile, but ends up transacting on another device. Now that Selectionnist has made a big transition to mobile, they hope to be in the position to fundamentally change that.

selectionnist1Each week the application will offer the possibility to find products from 20 magazines across 5 principal areas – fashion, beauty, culture, home & deco, and kids. Currently shoppers will have access to several big name titles, including such as Closer, Cosmopolitan, ELLE, Gala, Glamour, Marie Claire, Vogue, and many more.

For the moment the founders are focused on the French market.  However, one can easily see, particularly given their expansion to mobile, the enormous potential of Selectionnist. With 25k appstore downloads of their app since its launch this past Friday, it’s obvious that they’re already off to a very solid start.

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Illustration of BurgerBot robots assembling burgers in a fast-food restaurant. Image generated by AI.
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