Mobile Ecosystems · Retail
Augmented Reality Shopping App
A premium mobile shopping experience for fashion retailers with AR try-on features, personalized styling recommendations, and seamless checkout. Native iOS and Android apps with 4.8+ star ratings and 1M+ downloads. The app uses advanced AR technology to allow customers to virtually try on clothing, accessories, and makeup before purchasing. Features include 3D product visualization, virtual fitting rooms, style matching AI, and social sharing capabilities. Our solution increased conversion rates by 45%, reduced return rates by 30%, and improved customer engagement by 60% through immersive shopping experiences. The app processes 500,000+ AR sessions monthly and integrates with major fashion brands and retailers.
- Client
- FashionHub Retail Group
- Sector
- Retail
- Scope
- Mobile Ecosystems
- Timeline
- 8 months
Outcomes
- Conversion
- +45%
- Returns
- −30%
What we built
AR try-on feature increased conversion by 45%, reduced returns by 30%, 1M+ downloads, 4.8/5 rating, 500K+ monthly AR sessions
Before: Real-time AR rendering on mobile devices
After: Optimized AR rendering pipeline
Before: Accurate body measurement and fitting
After: Implemented ML-based body measurement
Before: 3D model optimization for mobile
After: Compressed 3D models for mobile
Before: Cross-platform AR consistency
After: Created unified AR framework
Before: Battery optimization for AR features
After: Optimized AR for battery efficiency
Also in the build
- AR virtual try-on technology
- Personalized style recommendations
- One-click checkout
- Social sharing and reviews
- Wishlist and favorites
- Push notifications
- Loyalty program integration
- Multi-language support (10+ languages)
- Size recommendation AI
- Virtual styling assistant
- Live chat support
- Order tracking and returns
The stack behind it
Delivered over 8 months.
Technologies
React Native · Swift · Kotlin · Node.js · MongoDB · AWS · Stripe · ARCore · ARKit · Firebase · Docker · Kubernetes · TensorFlow Lite · WebSocket · Redis · Cloudinary
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