Wearfits AR shoe try-on on the product page lets shoppers see fit on their own feet before they order — so size uncertainty stops driving reverse logistics. Built for footwear ecom brands (bags as an adjacent category). Not apparel AR. Not watches.
For footwear ecom brands (and their operators) that feel size-related returns and hesitation on shoe PDPs. Distinct from enterprise custom AR fitting, bags pilots, Photo-to-3D asset production, and Shopify feature-compare pages.
Catalog is shoes. Size charts alone are not enough — shoppers still bounce or order two sizes “just in case.”
You see size-mismatch tickets and reverse logistics cost. You want a PDP-level intervention, not another post-purchase survey.
You own the shoe PDP stack (Shopify or custom) and want try-on that lifts confidence without inventing a new brand experience.
Three steps from “I’m not sure of my size” to a clearer buy. No invented return-rate percentages on this page — claims stay qualitative.
They see the shoe, size picker, and a Wearfits AR try-on entry — on phone or desktop, in the browser.
AR overlays the model on their own feet so length, last, and silhouette feel real before size is locked.
Fewer “order both sizes” baskets and fewer size-guess returns — more decisive add-to-cart on the PDP.
AR try-on here is for shoes (bags OK as a brief adjacent category). Apparel uses a separate Gen-AI try-on path — never pitched as “AR clothing.” Watch try-on is not offered on this page.
Both help. Only one lets the shopper see the shoe on their own feet before they commit.
Useful baselines. Still leaves width, last, and “will it look right on me?” unanswered — which is where size-guess returns start.
Keep your chart. Add live try-on on the PDP so shoppers validate fit visually — higher confidence, fewer wrong-size return loops.
Email contact@wearfits.com with your brand, storefront (Shopify or custom), approximate shoe SKU count, and whether returns/size confidence is the primary KPI. We reply with the right path — self-serve app or custom/pilot.