TryOnLoop

TryOnLoop is a mobile + web AI virtual try-on app focused on “your-body-first” shopping discovery. Users take a short guided scan (front/side photos) to build a private body model, then import items from supported retailers (via link or product page screenshot). The app generates realistic drape and fit approximations and, more importantly, shows uncertainty: it flags where the simulation is likely wrong (stretch fabrics, heavy knits, loose silhouettes). It also recommends sizes using crowd fit data (returns, reviews, brand sizing quirks) and lets users compare two sizes side-by-side. The discovery angle is a swipeable feed of outfits built from saved items, with “fit confidence” scores and quick notes like “tight in shoulders” or “long inseam.” It’s not magic: results will be imperfect, but it’s good enough to reduce bad purchases and speed up decision-making.