Outdoor clothier PrAna has already done this. They ask for your height, weight, age, and what size of what brand fits you the best to predict best match. ML at work.
None of it works. I'm in the fashion e-com space and returns/fit is a serious issue, but no one has really made any progress when ordering online. Even services like TrueFit/FitFinder barely make a dent.
Do you think if cameras can capture real depth values, or capture volumetric information, could you at least prevent shoppers buying clothes that will not likely fit. I don’t think personalizes fit would be solved, but if you could measure dimensions and include that in recommendation engines, it could provide more insight.
Still too many features to make a difference - all we end up doing is shifting one distribution for another, and the net result is the same number of unsatisfied customers but just for different reasons. Neck & shoulders, length of waist vs. legs, arm length or face shape. All of the tech I've seen in this space does great work for improving conversion rate - which I take advantage of myself - but overall there has been no noticeable impact on net sales.
I’m working with my team on a solution that might be slightly different from what you’ve seen thus far — check out Drapr.com or download our app on the App Store (iOS only for now).
Photorealistic, physically accurate virtual try-ons.
https://www.prana.com/true-fit