Boot fitting is technical, personal, and often inaccessible. Most skiers end up in the wrong boot, which leads to pain, injury, and returns that carry a real shipping and carbon cost. SCARPA had no way to recommend a boot outside of an in-person conversation with a rep or retailer.

I designed and built a native iOS app in Swift and ARKit that turns an iPhone's LiDAR sensor into a boot fitter. The app guides a scanner and a subject through a four-phase flow of setup, capture, reconstruction, and measurement. It then maps the resulting foot geometry against SCARPA's boot specifications to produce a Mondopoint size and model recommendation.

Instead of a generic sizing chart, the app captures a skier's actual 3D foot and lower-leg geometry. Early scans kept picking up the floor and furniture, so I constrained LiDAR capture to an adjustable 3D bounding box around the foot. I also modeled the scan flow on 3D Measure Up's six-step pipeline after meeting with their team. This removed the noise and made a measurement-based recommendation possible.