Ecommerce

iCloudModel to Revolutionize the Photoshoot for Fashion E-commerce

e commerce,

iCloudModel, the world’s first model management using artificial intelligence to create out-of-the box solutions for Chinese fashion designer and brands to make realistic and high-quality images for fashion e-commerce.

China has the most mobile users and more e-commerce activity than any other country in the world. According to Digital Market Outlook, the fashion e-commerce apparel segment is forecasted to achieve a revenue of $169Billion in 2020 to $256Billion in 2024.

This partnership of iCloudModel (ICM) and Mad Street Den (MSD) comes when the COVID-19 pandemic has impacted virtually all businesses. The pandemic has caused increased disruption in the mobility of international models. With this technology, we shoot the international models at their location without having the models in China. The client shoot their own garment on a mannequin anytime at their location. The turnover can be as quick as 24 hours and cost 25% of traditional shoot production”, said David Lim, Founder and CEO of ICM.

“This technology Generative Adversarial Networks is able to understand what a garment looks like and visualize it on a model and also shows how realistic A.I. generated digital models can be. Each model in the library is a real fit model; digitized for the virtual world, including their measurements, shape, and posture. Using artificial intelligence, the technology morphs the garment onto the model’s image taking into account the natural shape, twists and turn of the body position”, says Dr. Costa Colbert, Chief Science Officer.

“Fashion unified with technology has been trend for sometimes. Artificial intelligence and models are an extraordinary pairing. I’m sure this new innovative solution will revolutionise the model management business for fashion e-commerce production”, says Dejan Markovic, President for Elite North America.

Check Out The New Martech Cube Podcast. For more such updates follow us on Google News Martech News

Previous ArticleNext Article