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AnalyticsCase Studies

Enabling user engagement for an SVoD platform with AI powered recommendation engine

By November 30, 2023No Comments
Enabling User Engagement for an SVoD

Issue

Aggregating movies, TV shows, music and games from different OTT platforms and also host content onto a single platform with a powerful recommendation engine that will provide personalized content to users based on their watch behavior

Our Approach

DataBeat designed and developed a platform hosted on AWS that will aggregate a collection of 690k titles across languages and genres from various OTT platforms and showcase them on a single platform where users can find it easily and stream it directly. The powerful recommendation engine takes into consideration user demographics, preferences, viewing history and viewer interaction (watch, browse and scroll behavior) to provide the best content recommendations for users. Made available on Android, iOS, TV, and Web, the platform is designed to search and browse by titles, cast, genres, languages and streaming services It also takes into account IMDB ratings, and global popularity statistics of content across all platforms to deliver world class user experiences.

Impact

  • Provides a single platform that can aggregate content from multiple OTTs, while enabling powerful search and browse experience where users can search based on genres, cast & crew, titles, languages etc.
  • Removes the hassle of searching for content on individual OTT platforms
  • Showcases original content of the platform that isn’t available on any other platform

Tools

  • AWS Services
  • VS Code
  • Bitbucket
  • JIRA
  • Vercel

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