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3DLook launches body scanning online platform SAIA
09 Jul '17
2 min read
Courtesy: 3DLook
3DLook, a leading company for human body scanning technology that works on any mobile device and doesn’t require any additional hardware, has announced the launch of its platform for online apparel stores, SAIA, a body scanning and measuring platform for ecommerce. The new product can be used to immediately determine the customer’s exact size and fit.
In 2016, retail ecommerce revenue from apparel and accessories sales amounted to $63.3 billion. The return rate for apparel purchased online is about 20 per cent. For more expensive items, return rates can hit 50 per cent. 80 per cent of first-time shoppers that return their purchase never buy from that website again.
The new platform is easily integrated with apparel ecommerce websites and mobile applications. SAIA instantly provides body measurements from two photos with over 98 per cent accuracy, front body and profile body, taken by a customer. No special equipment is required other than a smartphone. An apparel store can automatically suggest items and sizes of clothing that are the best fit for the customer, based on the measurements from scanned photos, provided by 3DLOOK in real time.
During their development process, they have recruited the world class tech team, led by the CTO, Ivan Makeev, a Ph.D. from UK and a developer with a strong background in AI and machine-learning based in Ukraine and Silicon Valley.
The team has intensively worked on the complex technology. 3DLOOK uses computer vision, machine learning, and 2D matching with the real 3D human models to achieve highly accurate results.
Vadim Rogovskiy, the CEO and co-founder of 3DLOOK said, “Our goal was to develop a seamless platform, which can immediately increase a store’s conversion rate, revenue and customer satisfaction. This is how SAIA from 3DLOOK was born. The solution is easy to use and the result is instant. No more trying clothes on, no more returning what you bought online because it didn’t fit. Our offer is simple and compelling for apparel retailers and will allow them to make billions more in purchases and save millions from returns annually.” (GK)
In 2016, retail ecommerce revenue from apparel and accessories sales amounted to $63.3 billion. The return rate for apparel purchased online is about 20 per cent. For more expensive items, return rates can hit 50 per cent. 80 per cent of first-time shoppers that return their purchase never buy from that website again.
The new platform is easily integrated with apparel ecommerce websites and mobile applications. SAIA instantly provides body measurements from two photos with over 98 per cent accuracy, front body and profile body, taken by a customer. No special equipment is required other than a smartphone. An apparel store can automatically suggest items and sizes of clothing that are the best fit for the customer, based on the measurements from scanned photos, provided by 3DLOOK in real time.
During their development process, they have recruited the world class tech team, led by the CTO, Ivan Makeev, a Ph.D. from UK and a developer with a strong background in AI and machine-learning based in Ukraine and Silicon Valley.
The team has intensively worked on the complex technology. 3DLOOK uses computer vision, machine learning, and 2D matching with the real 3D human models to achieve highly accurate results.
Vadim Rogovskiy, the CEO and co-founder of 3DLOOK said, “Our goal was to develop a seamless platform, which can immediately increase a store’s conversion rate, revenue and customer satisfaction. This is how SAIA from 3DLOOK was born. The solution is easy to use and the result is instant. No more trying clothes on, no more returning what you bought online because it didn’t fit. Our offer is simple and compelling for apparel retailers and will allow them to make billions more in purchases and save millions from returns annually.” (GK)
Fibre2Fashion News Desk – India
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