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Those algorithms project how many clients will be in a given situation, or “state,” several months into the future (like expanding their wardrobe after, say, starting a new job), and what volume of clothes people tend to buy in each situation. The algorithms also know which styles people with different profiles tend to favor — say, a petite nurse with children who lives in Texas. Myntra, the Indian online retailer, arms its buyers with algorithms that calculate the probability that an item will sell well based on how clothes with similar attributes — sleeves, colors, fabric — have sold in the past. (The buyers are free to ignore the projection.) All of this has clouded the future of buyers and merchandise planners, high-status workers whose annual earnings can exceed $100,000. At more conventional retailers, a team of buyers and support workers is assigned to each type of clothing (like designer, contemporary or casual) or each apparel category, like dresses or tops. Some retailers have separate teams for knit tops and woven tops. A parallel merchandise-planning group could employ nearly as many people. Bombfell, which is similar to Stitch Fix but caters specifically to men, relies on a single buyer for its tops and accessories. The company’s data and algorithmic tools help the buyer project clothing demand.CreditJeenah Moon for The New York Times Buyers say this specialization helps them intuitively understand trends in styles and colors. “You’re so immersed in it, you almost get a feeling,” said Helena Levin, a longtime buyer at retailers like Charlotte Russe and ModCloth. Ms.
For the original version including any supplementary images or video, visit https://www.nytimes.com/2018/07/07/business/economy/algorithm-fashion-jobs.html
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