AI & Machine Learning

Virtual Try-On Feature for Cosmetic Multi-National

AI-powered virtual makeup experience that revolutionized online cosmetics shopping

Business Challenge

A leading cosmetic multinational company faced significant challenges with online sales conversions. Customers were hesitant to purchase makeup products online without trying them first, leading to low conversion rates and high return volumes.

Key Challenges:

  • • Low online conversion rates due to inability to try products
  • • High return rates (35%) for color-mismatched products
  • • Limited customer engagement on digital platforms
  • • Difficulty showcasing product variety and shades
  • • Competition from brick-and-mortar stores with try-on facilities
  • • Need for innovative digital customer experience

Our AI Solution

We developed an advanced AI-powered virtual try-on system using computer vision and augmented reality technologies that allows customers to virtually apply makeup products in real-time using their device camera.

AI Features Implemented:

  • • Real-time facial landmark detection and tracking
  • • Advanced color mapping and skin tone analysis
  • • AR-based lipstick, eyeshadow, and foundation application
  • • Machine learning-driven shade recommendations
  • • Cross-platform compatibility (web, mobile, AR mirrors)
  • • Social sharing capabilities with virtual looks

Technical Implementation

Computer Vision

  • • 68-point facial landmark detection
  • • Real-time face tracking (30 FPS)
  • • Lighting condition adaptation
  • • Multiple face angle support

AI Engine

  • • Deep learning color matching
  • • Skin tone classification (16 categories)
  • • Texture mapping algorithms
  • • Personalized recommendations

Key Features

Product Categories

  • • Lipstick (300+ shades)
  • • Foundation (50+ tones)
  • • Eyeshadow (200+ colors)
  • • Blush and highlighter

User Experience

  • • Instant product application
  • • Before/after comparison
  • • Look saving and sharing
  • • Video recording capability

Results & Impact

Business Impact:

  • • 40% increase in online sales conversion
  • • 60% reduction in product returns
  • • 300% increase in customer engagement time
  • • 85% customer satisfaction with virtual try-on
  • • 50% increase in average order value
  • • 95% accuracy in color matching

Before Implementation

  • • 12% online conversion rate
  • • 35% return rate
  • • 2 min average session time
  • • Limited customer engagement

After Implementation

  • • 17% online conversion rate
  • • 14% return rate
  • • 8 min average session time
  • • High social media sharing

Project Details

Industry
Beauty & Cosmetics
Company Type
Multi-National Corporation
Project Type
AI & Computer Vision
Duration
8 months

Technologies Used

Computer VisionDeep LearningAR/VRTensorFlowOpenCVWebGLJavaScriptReact Native

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