Using AI based bots company increases revenue

A PPV video streaming company increases revenue and decreases human workload by automating the collection and analysis of its recommendation system by using Artificial Intelligence based bots from Loop Ai Labs.

A telecommunication video streaming company increases revenue and decreases human workload by automating the collection and analysis of its recommendation system by using Artificial Intelligence based bots from Loop Ai Labs.

The company used the Netflix type video ranking and recommendation system which involves humans reviewing and tagging each movie. While this approach increased their revenue by 100% over simply providing a video guide, this approach was expensive because of the labor costs, it was also slow and not scalable. 

In an effort to improve this they deployed the Loop Ai system.

  • Bots collect all “dark” data from the Internet about each video. Unlike the Netflix approach which uses humans to analyze video content, they collected reviews, mentions, ratings and key words about each movie. 
  • The Loop Q cognitive appliance processes the collected data using self learning cognitive S/W robots. 
  • The results were impressive:
    • Revenue increased by 270% which is evidence that the recommendation system performed better than the human based approach.
    • 99% reduction in costs as human effort was no longer needed.

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