Retail / Augmented Reality
Aina

An AI-powered smart fashion mirror that enables real-time virtual try-on for clothing, accessories, makeup, and more. Transform any screen into an interactive shopping experience.

Aina Smart Fashion Mirror

91%

User Acceptance Rate

9x

More Engaging Than Video Ads

3x

Store Visitor Traffic Increase

6+

Try-On Categories

Aina Interface
About the Platform

The Future of In-Store Shopping

Aina uses LSTM-based deep learning architecture to enable real-time virtual clothing try-on through any standard screen or kiosk. Customers can see how garments, accessories, shoes, makeup, eyewear, and jewelry look on them without physically trying anything on.

No special hardware is needed. Aina works with standard displays and cameras, making it accessible for retailers of all sizes. The system analyzes body proportions, skin tone, and movement in real time to deliver a natural, responsive try-on experience.

Virtual Try-On Categories

Everything Your Customers Want to Try

Clothing

Dresses, tops, jackets, and full outfits rendered on the customer's body in real time with accurate draping and fit simulation.

Accessories

Hats, scarves, bags, watches, and belts virtually placed with spatial awareness and realistic proportions.

Shoes

Footwear visualization with accurate sizing, angle tracking, and color matching against the full outfit.

Makeup

Foundation, lipstick, eyeshadow, and contour applied to the customer's face in real time with skin-tone adaptation.

Eyewear

Sunglasses and prescription frames positioned with face-shape detection and lens tint simulation.

Jewelry

Necklaces, earrings, bracelets, and rings displayed with realistic light reflection and material rendering.

How It Works

From Screen to Smart Mirror in Minutes

1
Step In

The customer stands in front of any Aina-enabled screen or kiosk. The camera detects their body and face automatically.

2
Browse

Customers browse the store's digital catalog and select items they want to try on, from clothing to jewelry.

3
Try On

The LSTM engine renders each item on the customer's body in real time, adapting to movement and pose changes.

4
Decide

Save looks, share with friends, or purchase instantly. Aina turns browsing into buying with confidence.

For Retailers

Drive Traffic, Engagement, and Sales

Aina is not just a try-on tool. It is a full retail engagement platform that transforms passive window shoppers into active customers. Research shows that interactive mirror experiences are 9x more engaging than traditional video advertisements and drive a 3x increase in store visitor traffic.

  • Reduce return rates by letting customers visualize before buying
  • Increase average basket size through outfit combination suggestions
  • Collect anonymized preference data for inventory optimization
  • Deploy as window displays to attract foot traffic after hours
  • No special hardware required, works with standard displays
Aina in Retail Environment
Gallery

See Aina in Action

Aina Clothing Try-On
Aina Makeup Try-On
Aina Accessories Try-On
Aina Kiosk Deployment
Roadmap

From Prototype to Global Platform

Aina is evolving from a kiosk-based smart mirror into a full mobile platform available on iOS and Android, enabling virtual try-on from anywhere.

LSTM Deep Learning Computer Vision AR XR
Prototype Development

Core LSTM engine, body segmentation, and initial clothing overlay system built and validated internally.

Field Research

Real-world testing with retail partners to validate user experience, acceptance rates, and engagement metrics.

Pilot Deployment

Limited rollout to select retail stores with kiosk-based installations and full catalog integration.

Mobile App Launch

Aina comes to App Store and Google Play, bringing virtual try-on to customers' personal devices.

Chain Partnerships

Enterprise agreements with major retail chains for large-scale deployment across multiple locations.

Ready to transform your retail experience?

Aina works with your existing displays. No special hardware, no complex integration. Contact us to schedule a live demonstration.

Schedule a Demo