End to end analytics for call center

The call center industry has been growing rapidly over the years. With more and more businesses relying on call centers to manage their customer interactions, it has become imperative to ensure the quality of the calls being made. Inefficient call handling can lead to unsatisfied customers and lost business opportunities. To address this need, the paper presents a solution to perform various analytics on call center recordings, including language identification, speech-to-text transcription, sentiment analysis and text summarization. These analytics provide valuable insights into the quality of calls and the performance of agents which can be used to optimize call center operations and improve customer satisfaction.