Two startups, Neatsy en Xesto, launched their app in the same week. The long wait for a solution for the tricky fit issue and then two launch in the same week. We guess the Black Friday hype and the fact the holiday season is upon us has something to do with this. Timing is everything. Anyway, they both tackle a problem or service a lot if people have been screaming about for a long time. They solve the hassle of finding the right shoe size for your feet. Capturing 3D models to predict a comfortable sneaker fit (yes, it is only limited to sneakers so far). Let’s jump into it and start with Neatsy.

Neatsy currently soft launched for iOS pending their official launch next month. How does it work? They start with asking a couple of basic questions around sneaker fit preference before walking through a set of steps to capture a 3D scan of your feet using the depth-sensing FaceID. A machine learning model analyses and predict a comfy fit which is eventually used to offer personalized fit prediction. Neatsy raised $400K in a pre-seed round back in March 2019 to get the app on the market, which is now available in US, UK, Spain, France, Russia, Netherlands, Italy, Germany and Canada. Sneaker brands currently include Puma, Nike, Jordan Air and Adidas.

A couple of days later, Xesto also launched their app for 3D foot models. It is a Canadian startup that hasn’t always been focused on feet. They launched back in 2015 to explore human computer interaction business ideas. Where it has a long research collaboration with the University of Toronto. Co-founder Sophie Howe claims Xesto is more accurate then Neatsy. ”We are under 1.5 mm accuracy vs 1.5 cm at Neatsy.” Another difference is that Xesto isn’t limited to sneakers, they are shoe-agnostic and don’t sell any shoes itself. Another cool feature is the ability to share your foot scans. A person that for example doesn’t have a depth-sensing iPhone could ask to borrow a capture and takeaway scans of their own feet. Xesto is solving two issues, buying shoes for yourself and buying shoes for someone else.

We all have experienced it at least once and the hype of more and more online shopping only extensified the need to tackle the amount of returns. Looking at some numbers, 15-30% is the current return rate of online orders vs only 8% in-store purchases. On average 19% of those returns fall under the category clothing/shoes. In 2020 alone, predictions are that reverse logistics will cost around $500 billion in the US. Neatsy predicted that sneaker returns in particular rack up $30 billion annually for e-commerce outlets. Shoe sizing simply isn’t standardized across different brands.


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