Style may be a form of self-expression, but shopping is only as personal as designers and the stockroom dictate. You might ask a salesperson how you look in that dress or hire a stylist if you have the resources. You can order a bespoke look, but only if you’re willing to shell out top dollar.
“You can think of Stitch Fix like a fashion laboratory where we can learn empirically what types of fashions will work with which clients,” Klingenberg says. “We send them things, and they send us feedback. It’s about getting to know customers better over time.” Outside the box, the data can also foreshadow new clothes and lines that customers want, leading to the creation of what Stitch Fix calls Hybrid Designs — original looks crafted in-house, entirely by machines, and simply greenlit by human stylists to make sure no fashion disasters make it into production.
As Stitch Fix discovers new customer segments through data, the company can create Hybrid Designs tailored to their specific needs. To date, 10 percent of the more than 100 Hybrid Designs that Stitch Fix has created fall in the plus-size category. Klingenberg notes that this came about because customer feedback pointed to an unmet need. “We constantly look at the feedback our clients share and try to figure out how we can be carrying the right assortment.
Style Shuffle is the creation of Chris Moody, Stitch Fix’s manager of data science, who brainstormed it in 2016. Since then, the feature has amassed more than one billion unique outfit ratings, with more than 75% of the company’s clients playing to date.
Teradata ML has gone too far… I don’t want artifical intelligence to effect culture and art scene.
Technology Technology Latest News, Technology Technology Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
Source: CNBC - 🏆 12. / 72 Read more »