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Lenskart LogoE-Commerce

Personalized Product Discovery at Scale

How Query Quotient transformed Lenskart's search experience, delivering personalized product recommendations to millions of customers with lightning-fast performance and exceptional relevancy.

300%
Conversion Increase
<100ms
Response Time
60%
Better Relevancy
Lenskart Platform Interface

The Challenge

Lenskart, India's largest eyewear retailer with over 500 stores and millions of online customers, was facing critical challenges in delivering a world-class digital shopping experience:

Complex Product Attributes

With 5000+ SKUs having intricate attributes like frame shape, material, color, size, and lens type, search accuracy was severely compromised.

Personalization at Scale

Delivering personalized recommendations to 10M+ users based on face shape, preferences, and purchase history was computationally intensive.

Peak Traffic Handling

During sale events, traffic would spike 10x, causing search failures and lost sales worth millions.

Inventory Synchronization

Real-time sync between 500+ stores and online inventory was causing customer frustration with out-of-stock items appearing in search.

Our Solution

Query Quotient designed a comprehensive Elasticsearch solution that combined advanced search capabilities with machine learning-powered personalization:

ML-Powered Product Discovery Engine

We built an intelligent search system that understands customer intent and preferences:

  • Natural language processing for queries like "round glasses for oval face"
  • Visual search capabilities for "find similar" functionality
  • Dynamic re-ranking based on user behavior and preferences
  • Faceted search with intelligent filter suggestions

Personalization at Scale

We implemented real-time personalization that scales to millions of users:

  • User profile-based scoring adjustments in real-time
  • Collaborative filtering for "customers also bought" recommendations
  • A/B testing framework for continuous optimization
  • Contextual recommendations based on browsing patterns

Auto-Scaling Architecture

We built a resilient infrastructure that handles extreme traffic variations:

  • Predictive scaling based on historical patterns and upcoming sales
  • Multi-layer caching reducing database load by 80%
  • Circuit breakers and fallback mechanisms for resilience
  • CDN integration for static search assets

Real-time Inventory Integration

We solved the inventory synchronization challenge with innovative solutions:

  • Event-driven architecture for instant inventory updates
  • Store-specific search results based on user location
  • Predictive stock-out prevention algorithms
  • Automated de-ranking of low-stock items

The Results

The transformation delivered exceptional business results and customer satisfaction:

Business Metrics

  • 300% increase in conversion rate
  • 45% increase in average order value
  • 60% reduction in cart abandonment
  • 25% increase in repeat purchases

Technical Excellence

  • Sub-100ms search response time
  • 99.99% search availability
  • 10x traffic handling capability
  • Real-time inventory accuracy
"Query Quotient revolutionized our digital commerce capabilities. The personalized search experience they built has become our competitive advantage. Our customers now find exactly what they're looking for in seconds, and our conversion rates have exceeded all expectations. The 300% increase in conversions speaks for itself."
— Amit Sharma, Chief Digital Officer, Lenskart
10M+
Monthly Searches
5000+
Products Indexed
500+
Stores Connected

Implementation Highlights

Search Features

  • Typo tolerance and spell correction
  • Synonym management for regional terms
  • Voice search integration
  • Smart autocomplete with categories
  • Visual similarity search

Technology Stack

  • Elasticsearch 8.x cluster
  • TensorFlow for ML models
  • Redis for session caching
  • Kubernetes orchestration
  • CloudFront CDN

Customer Experience Improvements

Before

  • Generic search results for all users
  • 3-5 second search response times
  • Limited filtering options
  • Frequent "no results found"
  • Manual browsing required

After

  • Personalized results for each user
  • Sub-100ms response times
  • Smart filters with counts
  • Always relevant results
  • Guided discovery experience

Transform Your E-Commerce Search Experience

Let's discuss how Query Quotient can help you deliver personalized, lightning-fast search experiences that drive conversions.