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Eclectic Style Fashion Portraits

Clean the Sky - Positive Eco Trends & Breakthroughs

The Glamour Italia March 2014 Issue Stars Lydia, Mini and More

— March 17, 2014 — Fashion
The Glamour Italia March 2014 editorial is chock full of different styles, which helps catalog all of the looks a woman can don for the upcoming spring season. It does, after all, highlight the spring 2014 collection of such labels as Louis Vuitton, Gucci, Sportmax and more. From minimalist and modern to feminine and playful, the outfits will suit just about any personality out there.

Shot by photographer Michel Comte of Walter Schupfer Management, the Glamour Italia March 2014 editorial stars models Mini Anden, Ruby Stewart, Mariko Wordell, Ivana Milicevic, Dylan Penn, Lydia Hearst, Madison Beer and Fallon Goodson. They were each styled by Ayako Comte, with makeup by Robin Black and hair by Makiko Nara.
Trend Themes
1. Eclectic Style Fashion - Disruptive innovation opportunity: Develop an online platform that curates and sells unique, eclectic fashion pieces from independent designers.
2. Spring 2014 Collections - Disruptive innovation opportunity: Create a virtual reality fashion show experience to showcase the latest collections from high-end fashion labels.
3. Playful and Feminine Outfits - Disruptive innovation opportunity: Develop an AI-powered personal stylist app that suggests playful and feminine outfit combinations based on individual preferences and body types.
Industry Implications
1. Fashion E-commerce - Disruptive innovation opportunity: Integrate augmented reality technology into fashion e-commerce platforms to allow customers to virtually try on clothing before making a purchase.
2. Virtual Fashion Experiences - Disruptive innovation opportunity: Create a virtual reality platform for fashion designers to showcase their collections and connect with buyers from around the world.
3. Personal Styling Apps - Disruptive innovation opportunity: Develop an AI-powered personal styling app that uses computer vision technology to analyze a user's existing wardrobe and provide outfit recommendations.
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