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Computer Vision & Imaging AI
AR & Visual Simulation
Retail & E-Commerce

AR Virtual Try-On With Face Tracking for an Omnichannel Eyewear Retailer


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Problem

Frames bought blind online

An eyewear retailer with 28 stores and a growing e-commerce arm saw online frame purchases returned at nearly twice the in-store rate. Shoppers could not judge how frames sat on their face, size guides went unread, and fit-related returns were absorbing margin. Store teams also had no view of what customers had browsed online before an appointment.

Solution

Face-tracked virtual try-on

We built an AR virtual try-on that renders frames on the shopper's face in real time using camera-based face tracking, in the iOS app and directly in the mobile browser. A 3D asset pipeline converted the frame catalogue into try-on-ready models, and saved favourites sync to store appointments so opticians start every fitting with the customer's shortlist.

Measurable Impact

What changed after launch

Conversion on frame product pages up 28% for shoppers who used virtual try-on versus those who did not

Fit-related return rate on online frame orders down from 24% to 15% within two quarters

41% of mobile sessions on frame pages engaged the try-on within 3 months of launch

Try-on shortlists attached to 1 in 5 in-store appointments booked through the site

Tech & Tools Used

What powered the build

Swift (ARKit)
MediaPipe Face Mesh
TensorFlow.js
Three.js
Blender
Next.js
Node.js
PostgreSQL
AWS S3 + CloudFront

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