AI Engineer for E-commerce Product Recommendations

Our AI engineers specialize in building advanced recommendation systems that help e-commerce platforms deliver personalized shopping experiences. With expertise in machine learning, deep learning, and behavioral analytics, they develop AI models that increase conversion rates, enhance customer retention, and maximize revenue.

• AI-Driven Personalized Product Recommendations for a Global E-Commerce Brand
  Developed a machine learning-based recommendation engine that increased average order value by 22% and boosted repeat purchases by 35% by analyzing customer preferences and purchase history.
  
  Deep Learning for Real-Time Customer Personalization
  Designed a real-time personalization system using deep learning algorithms, allowing an online marketplace to deliver instant, AI-driven product suggestions, resulting in a 19% increase in session duration.
  
  AI-Powered Upselling & Cross-Selling Model
  Built an automated AI-driven upselling engine that analyzed user behavior and purchase patterns to offer the right complementary products, increasing upsell revenue by 27%.
  
  AI-Based Visual Search for E-Commerce
  Created a computer vision-powered recommendation tool that allowed users to search for products using images, leading to a 40% increase in engagement for fashion and home decor categories.
  
  Customer Churn Prediction & Personalized Retargeting
  Implemented an AI-powered customer churn detection system that identified at-risk customers and triggered personalized offers, reducing churn by 18% for a subscription-based e-commerce platform.