Web Development

AI-Integrated E-Commerce Platform

Intelligent Recommendations & Smart Search for Conversion Growth

E-CommerceRecommendationsFull-Stack Web
⚠The Challenge

A mid-market e-commerce brand with 2000+ SKUs and $15M annual revenue struggled with stagnating conversion:

  • Dated search functionality using simple keyword matching, leading to poor discovery
  • No personalization - recommendations were generic "best sellers," not relevant to individuals
  • Stagnant metrics: 2.1% conversion rate, 28% cart abandonment, low AOV
  • Legacy codebase difficult to extend with modern capabilities
Solution Overview

We rebuilt the entire platform with a modern tech stack, intelligent recommendation engine, and semantic search.

🔍 Semantic Search

Replaced keyword search with vector embeddings and semantic understanding.

  • • Users find products by meaning, not exact keywords
  • • "Waterproof phone case for iPhone 15" matches relevant products instantly
  • • Handles typos, synonyms, and natural language

🎯 Recommendation Engine

ML-powered personalization based on user behavior and product similarity.

  • • Collaborative filtering from user browsing/purchase history
  • • Content-based similarity for products users are viewing
  • • Real-time personalization across homepage, product pages, and cart

💻 Modern Frontend

Next.js with server components, real-time personalization, and optimized performance.

  • • 85th percentile Lighthouse scores
  • • Mobile-first design for 65% mobile traffic
  • • Real-time inventory sync and dynamic pricing
Technology Stack
Next.jsTensorFlowElasticsearchRedisAWSPostgreSQLPythonNode.jsDocker
📈Results & Impact

34%

AOV Increase

From $89 to $119 avg

+52%

Search Satisfaction

Customer feedback improvement

-28%

Cart Abandonment

Down to 20.3% rate

2.8%

Conversion Rate

Up from 2.1%

Transform Your E-Commerce Platform

Increase conversions and AOV with intelligent search and personalized recommendations.

Request a Demo