Is it a fit or a miss?
NEW YORK Stores watching Amazon take a larger share of clothing sales are trying to solve one of the most vexing issues for online shoppers: Finding items that fit properly.
The retailers are unleashing tools that use artificial intelligence to mimic what a salesperson at a store might offer, calculate a shopper’s most likely body shape, or use 3D models for a virtual fitting room tryon. Amazon, which some analysts say could surpass Macy’s this year as the largest U.S. clothing seller, is offering some customers an Alexapowered device that doubles as a selfie-stick machine and a stylist.
Retailers want to reduce the rate of online returns, which can be up to 40 per cent, and thus make customers happier — and more likely to be repeat shoppers. And the more interaction shoppers have with a brand, the more the technology will learn about shoppers’ preferences, says Vicky Zadeh, CEO of Rakuten Fits Me, a tech company that works with QVC and clothing startup brands.
“It’s all about confidence,” she says. “If they have the confidence to buy, they will come back to the retailer time and time again.”
The push is coming from big names like Levi’s and The Gap and startups like Rhone and Taylrd.
Levi’s new Virtual Stylist texts back and forth with online customers to offer recommendations, based on their preferences. Marc Rosen, Levi’s president of global e-commerce, says early tests show the chatbot is driving more browsers to become buyers.
Rakuten Fits Me, which works with QVC and other companies, fine-tuned its fit technology this summer and says its retail partners now offer garments that should fit shoppers’ body shapes when the customer first does the initial search. Shoppers provide three measurements — height, weight, and age — and then it calculates a person’s most likely body shape, not size, to determine the fit for any garment and offer more accurate recommendations.
And Gap Inc. has an augmented reality app in collaboration with Google and startup Avametric that allows shoppers to virtually try on clothes. Shoppers enter information like height and weight and then the app puts a 3D model in front of them. However, the tool only works on Google Tango smartphones.
Sebastian DiGrande, executive vice-president and strategy and chief customer officer at Gap, says its augmented reality app has received good feedback, but it’s still determining whether shoppers really want a virtual 3D model.
Clothing brand Tommy Hilfiger similarly has built its mobile app around the camera and image recognition. It has an augmented reality feature enabling shoppers to see what the clothes look like on a virtual runway model — but not their own body type.
And men’s online clothier Bonobos, now owned by Walmart, launched an app that offers customers a virtual closet to see items they bought and saved. The app is converting browsers to buyers at a faster rate, says Andy Dunn, founder of Bonobos.
Companies are smart to offer new tools, but many are too “gimmicky,” says Sapna Shah, principal at Red Giraffe Advisors, which makes early-stage investments in fashion tech. And all the companies need to win over customers who prefer to touch and see things in person.
“It’s great that they’re busting their tail with all these apps, but I am skeptical,” said Doug Garnett of Portland, Ore. Garnett says he buys some clothes online when he knows and understands the brands, but otherwise, “I really need to see them on my body before I act, and really prefer that to be in a store.”
As Amazon dives further into fashion, it could use its base of data to spur trends and personalize offers for its customers. Its Echo Look features a built-in camera that photographs and records shoppers trying on clothes and offers recommendations on outfits. It works with its Style Check app using machine learning and advice from experts. The potential: learn shoppers’ styles and recommend outfits to buy. Amazon reportedly is exploring the idea of quickly fulfilling online orders for custom-fit clothing.