Netflix uses proprietary ML and deep learning recommendation engines to analyze user behavior and viewing history, personalizing suggestions for movies and TV shows. AI also optimizes content creation, thumbnails, and predicts original content success.
- Increased user engagement
- Reduced churn
- Higher watch time
- Improved content investment decisions
Manual recommendations and content planning were inefficient and lacked personalization
Developed AI-driven recommendation engines, thumbnail optimization, and predictive analytics for content success
- Higher retention and engagement
- More successful original content
- Data-driven creative decisions
