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Fast Food Fanatic Editorials

Clean the Sky - Positive Eco Trends & Breakthroughs

Emilie Elizabeth's Michael Freeby Series Celebrates Salty Snacks

— August 7, 2014 — Fashion
Photographer and model Michael Freeby stars in this whimsical image series by Emilie Elizabeth. Michael poses in an arcade, on a hotel rooftop and in the middle of a graffiti-clad alley way while donning a wardrobe of vividly printed pieces.

The garments are adorned with hamburger, hotdog and milkshake prints along with other vibrant motifs that are paired together to create a range of clashing but eye-catching ensembles.

Grooming for this image series is courtesy of Rachel Vang who creates a retro coif for Michael Freeby. The model embodies a youthful style aesthetic and is effortlessly cool in this photo series. Michael poses in printed hoodies, photo-clad statement sweaters and cartoon-accented tanks that set a carefree tone for summer.
Trend Themes
1. Vivid Print Fashion - Opportunity for disruptive innovation: Develop sustainable and customizable printing techniques for clothing to meet the demand for unique and eye-catching designs.
2. Retro Style Aesthetic - Opportunity for disruptive innovation: Create a platform that connects vintage clothing enthusiasts and sellers to facilitate the trading and selling of retro fashion items.
3. Youthful Streetwear - Opportunity for disruptive innovation: Utilize augmented reality technology to enhance streetwear shopping experiences by allowing consumers to virtually try on clothes before purchasing.
Industry Implications
1. Fashion Retail - Opportunity for disruptive innovation: Implement artificial intelligence chatbots to provide personalized fashion recommendations and styling tips to online shoppers.
2. Textile Printing - Opportunity for disruptive innovation: Develop eco-friendly printing technologies and inks to address the increasing demand for sustainable fashion practices.
3. Vintage Fashion - Opportunity for disruptive innovation: Build an online platform that utilizes machine learning algorithms to curate and recommend unique vintage fashion pieces based on individual preferences.
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