In battling the busyness and stressors that often come with adult life today, many of us enjoy engaging in a little retail therapy in our off time. And whether that happens in a bustling mall or from the comfort of our couches, apparel is often the central focus of our shopping delights. The problem with that is the disappointment later in realizing that what we bought and how it actually looks does not at all fall in line with what we expected.
Body Labs, headquartered in Manhattan, is well acquainted with the issue of ill-fitting clothes which may be too tight, droopy all over, or just plain wrong all over. They launched BodyKit as their first set of APIs meant not just to further 3D printed clothing, but to create 3D technology that can simulate the body and be used in a variety of applications that allow for tailored measurements as well as data exports and detailed analyses. More features were added shortly after, meant to increase the power of 3D body modeling with new capabilities in surface area and volume. As the idea of 3D scanning being used for customization as well as the 3D printing of apparel has begun gaining more attention, 3DPrint.com and Body Labs also put together an informative webcast for the public on How to Use 3D Body Imaging to Innovate In the Apparel or Footwear Industry, which was held back in June.
A new API is just being launched now, again centered around designing for better fit, but this time in the form of Body Labs Blue. This embeddable web interface will offer online clothing retailers a better method not just for creating custom clothes, but for making sure they can finally offer that perfect fit we all hope for.
“The Blue API will further enable customization and third-party integrations by third-party developers and apparel software,” said Body Labs.
Technology from Body Labs is meant to help customers deal with the varying sizes, brands, and fits that can become quite frustrating in today’s online shopping world. The Body Labs team aims for accuracy and software that is easy to use, and they are in the business of providing simulated body models in the form of ‘statistically accurate 3D digital avatars.’ The Body Labs team explains on their website that these are created with both AI and machine learning algorithms that reference third-party 3D body scans or physical measurements as they form a precise image of the individual shape.
“It’s really hard for an individual to go online and know what to buy,” says Flo McDavid, Business Development for Body Labs. “I think a big part of that is the only people who know the sizing are the brands. But the brands don’t know you, and they don’t know what you look like, so there is this disconnect between the brands and the sizing, and individuals who know their bodies. There’s no real language for them to be able to communicate that body data.”
Body Labs is also now collaborating with Intervisual, a company based out of Portland, that is intent on ‘changing the way people shop for apparel.’ With this partnership, retailers should be able to look forward to offering their customers some very satisfying try-on experiences that result in a completely customized fit. Not only that, they can look forward to saving serious numbers on the bottom line as both returns and exchanges are reduced.
“Right now, one third of online purchases are being returned,” said McDavid. “That’s huge. If one third of your customers walk away, and they’re not happy? That’s a problem for your brand, and it really, really hurts your bottom line.”
With this product emphasizing precision, retailers and developers will also be able to look forward to:
Customizing Blue for their own businesses, and integrating customer management data for third party services as well as development data
Virtual try-on applications that are easily built
As retailers integrate the API into their system, accessing Blue measurements is simple, with an example of a workflow below:
Post very basic measurements (height, weight, gender) from the user to the partial route.
Receive a generalized prediction of the user’s body shape from the response.
Allow the user to review and refine any of those six measurements in the response.
Post the refined measurements to the final route to predict a more accurate body shape.
Receive all of the Blue measurements as a response.
Developers who are interested in finding out more should check out the technical documentation for the API, and for more information in general about this new technology,