Advanced 3D fit technology to give online apparel a boost - Just Style
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Advanced 3D fit technology to give online apparel a boost

22 Oct 2018

Body scanning technology firm 3DLook has developed an improved version of its 3D body model generation it says will help online apparel brands and retailers solve fit and size problems, increase conversion rates, and lower return rates.

Body scanning technology firm 3DLook has developed an improved version of its 3D body model generation it says will help online apparel brands and retailers solve fit and size problems, increase conversion rates, and lower return rates.

The upgrade to SAIA 3D continues 3DLook’s mission to amass the largest dataset of human body models and measurements in the world. The new technology instantly generates 3D body models from two front and side facing photos of consumers, that can be taken by any smartphone.

Early tests show a 30% increase in accuracy from measurement extraction from the two photos versus extraction tested on some of the leading 3D hardware scanners, the company says.

Version 2.0 has been designed to produce more accurate and realistic 3D models, significantly reducing the computation time of the 3D model generation. The platform includes a flexible API, mobile SDK and personal accounts for each client enabling them to create 3D models of their customers, and then analyse data of the 3D models which accurately captures sizing trends, market segments, and analytics about their actual customer.

3DLook says it has made its avatars ready for animation; a process known as rigging, which is targeted to retailers and brands focused on athletics, athleisure and virtual dressing. The company has already partnered with CLO, a leading software solution for virtual garment rendering, and together have built a virtual try-on solution so that consumers can visualise how a product looks on them in 3D or augmented reality (AR) before purchase.

The goal is to reduce the likelihood of a return and encourage shoppers to spend more time on a website, increasing customer engagement, according to 3DLook.

“Understanding a consumer’s unique body data is the first step to understanding what the consumer might actually want to buy,” says Vadim Rogovskiy, co-founder and CEO of 3DLook. “The online shopping experience is going to look very different in the next few years. Companies like Amazon are already working on their own solutions while other online retailers will have to look for opportunities to compete against the corporation. I’m glad that we are part of this exciting revolution that can help e-commerce apparel businesses of any size to grow.”

Rogovskiy adds that by launching SAIA 3D V2.0, 3DLook is giving brands and retailers the tools and data necessary to stay competitive against Amazon who late last year bought competitor Body Labs for a reported US$50-$100m. He also hopes the technology will make a dent in the level of industry apparel waste by enabling a much deeper level of customisation.

3DLook claims some of the largest global brands and retailers in the world have been testing its technology since its release in beta in June 2017.

Meanwhile, the company’s first version of its B2B product, SAIA Perfect Fit, is also being tested in brick and mortar. The solution makes fit recommendations using the measurements it generates from two photos uploaded by a customer and the product data which is uploaded by the SMB. The product is currently being tested live with several smaller clients and is in various stages of pilots with close to 20 major global brands and retailers.

Early test results prove a 30% increase in conversion rates for customers using the widget and a 20% increase in revenue per customer, according to 3DLook.