Fashion is a form of self-expression. Whether it’s Facebook CEO Mark Zuckerberg showing up in a hoodie for a meeting to signal he doesn’t need to dress up, someone wearing a bright red blazer to stand out from a sea of grey jackets at a job interview, or a teenager picking out a trendy outfit to wear to school to boost their popularity, what someone wears says a lot about who they are and how they want to be seen. But how do clothing retail companies predict what trends will be popular ahead of the start of the season? It turns out many of today’s leading fast-fashion companies, like H&M and Zara, are turning to artificial intelligence to help them predict tomorrow’s trends and stay ahead of the curve. If you want the look for less, you want fast fashion. Examples of fast fashion include H&M, Zara, Old Navy, Urban Outfitters, Topshop, Mango, and Uniqlo. Fast fashion is, typically speaking, the trendy pieces of clothing and accessories that you can purchase inexpensively from malls across the country. “Inexpensive” is, of course, a relative term. Many fast fashion stores have bargain-basement prices for clothing for younger shoppers seeking a look that won’t be in style beyond the season as well as higher price point looks for shoppers who are looking for outfits that are still considered affordable by the middle class but are more professional looking or made from better materials.
Veranese Promoted to CEO of AMI
With the continued growth and evolution of Advanced Manufacturing International, Inc. (AMI), the