But, of course, it's a little more technical than that. Here's the breakdown:
Three initial algorithms create a starting point. The first algorithm picks three recommended pieces of clothing that could be combined or used as a template for a new piece. The second algorithm picks three different attributes that have been shown to compliment the initial designs' attributes. The third algorithm suggests an attribute not previously suggested. Then, these suggested attributes analyze trillions of potential combinations to come up with nine suggestions.
Hannah Abrams is the senior content editor for Promo Marketing. In her free time, she enjoys coming up with excuses to avoid exercise, visiting her hometown in Los Angeles and rallying for Leonardo DiCaprio to win his first second Academy Award.