Case Study: a premium video-on-demand service improves movie recommendations with InData Labs

the client improves movie recommendations by 25% with InData Labs

The Client, a leading premium video-on-demand service for Smart TVs, sought to improve its platform by moving from editor-curated to personalized movie recommendations. Their goal was to enhance customer experience and drive more sales from their recommendation page, which was the source of 80% of their revenue. They partnered with InData Labs to build a custom machine learning recommendation engine.

InData Labs developed a solution using a collaborative filtering approach powered by Python, Spark, and Parquet for efficient big data processing. This system provided fresh, daily personalized recommendations for millions of users. The implementation was a success, resulting in a 25% reduction in the average number of unique films a user scrolled through before making a purchase, significantly improving the customer experience.