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E-Commerce
AI-Powered Recommendation Engine
Machine learning recommendation system that increased conversion rates by 45%.
ClientNational E-Commerce Lab
Year2023
Duration5 months
A
The Challenge
E-commerce platform needed personalized product recommendations to improve user engagement and sales.
The Solution
Built a hybrid recommendation system combining collaborative filtering and content-based approaches. Implemented A/B testing framework and continuous model retraining.
Project Interface Visualization
Key Results
45% increase in conversion rate
35% higher average order value
2x improvement in user engagement
Real-time personalization for 100K+ users
Technologies Used
Python
TensorFlow
PyTorch
Redis
PostgreSQL
FastAPI
“
"The AI system brought real business value to our platform with measurable results."
Confidential ClientTechnical Lead
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