AR Shopping Platform
Photogrammetry-based AR for a furniture shopping experience.
- Year
- 2021
- Role
- UX Designer
- Tags
- AR/VRUIUX design3D ReconstructionHCI
See the actual object in your actual room before you buy.
Online resale platforms drown in returns because buyers can't understand the product or trust the seller. ShopAR is a photogrammetry-based AR selling platform: it gives buyers a real understanding of each object, builds a community of trust, and makes AR product creation easy enough for any seller.
See the actual object in your actual room before you buy.
Online resale platforms drown in returns because buyers can't understand the product or trust the seller. ShopAR is a photogrammetry-based AR selling platform: it gives buyers a real understanding of each object, builds a community of trust, and makes AR product creation easy enough for any seller.

The concept moves AR creation to the user. The seller photographs the object from every side, and photogrammetry matches feature points across the images and stitches them into a 3D object with textures already mapped. The buyer sees all sides of the real item, not a studio render.

The platform is two-sided, so the research built two personas. Kathleen, the seller, loses money on every return and has no infrastructure beyond photos to show what she sells.

Joseph, the buyer, can't see hidden defects, can't judge size, and can't tell how an object will look outside a white-background listing.

Auditing current resale apps showed how their design makes the problem worse: angle-picked photos hide damage, white backgrounds strip context, and returns get complicated when a third-party seller is involved. Both sides stop trusting the app.

Journey maps for selling and buying tied each pain point to a specific step in the process, from taking listing photos to handling the return.

On the cost-impact matrix, augmented reality stood out: the one intervention that accurately represents objects in context without new hardware on either side.


Early wireframes laid out the flows: browse, inspect, capture, and place.

We tested the flows as clickable prototypes before committing to visual design.

High-fidelity version 1 introduced the community page: users upload their own rooms and furniture in AR, which gives people a reason to come back to the platform.

Version 2 tightened the shopping core. Each piece carries a detail view with the product's story before you take it into AR.

A simple instruction and feedback loop walks sellers around the object, so capturing a photogrammetry model feels like taking a few photos.

The AR view places the stitched model in the buyer's room with accurate materials, and accurate damage, because it comes from real photos. Open questions for the next pass: specular objects, baked-in lighting, and closing the mesh under the object.

Credits
- Team
- Kenny Kim, Aishwarya Sreenivas, Joseph Wu
- Duration
- November 2021 (1 month)