Elevate Contact Center Quality Assurance Using AI and Plivo’s Voice API

Aug 26, 2024
Elevate Contact Center Quality Assurance Using AI and Plivo’s Voice API

In today's competitive market, high-quality customer interactions are essential for maintaining service standards. By integrating Plivo’s audio stream with AI-driven transcription and sentiment analysis, you can improve call quality monitoring. This blog showcases how you can utilize existing technologies to maintain exceptional customer experiences and service standards.

Why Call Quality Assurance Matters

For businesses that rely on live phone conversations, such as call centers and sales teams, monitoring call quality is essential. Identifying trends, analyzing sentiment, and pinpointing areas for improvement help evaluate agent performance, boost customer satisfaction, and drive business growth. However, traditional call quality analysis methods can be time-consuming and resource-intensive.

Integrating Plivo’s Audio Stream with AI-driven service

Plivo’s application offers a streamlined approach to call quality analysis by utilizing its audio stream capability. This feature, combined with AI-driven services for real-time transcription and sentiment analysis, automates significant aspects of the process. However, it is important to note that audio streaming alone does not encompass the entire call quality assurance, and should be integrated into a wider quality control framework.

For demonstration purposes, we will reference Amazon Transcribe and Amazon Comprehend to showcase the application’s capabilities, though any compatible AI service can be used.

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How It Works

Plivo’s application initiates a WebSocket for real-time audio streaming and transcription. Here’s a step-by-step overview of the process:

  1. Initiate a Call: A participant calls a phone number managed by Plivo.
  2. Route the Call: The call is routed to the recipient through Plivo’s WebSocket, capturing the audio stream for transcription.
  3. Transcription: The captured audio is transcribed in real-time by the selected transcription service.
  4. Sentiment Analysis: Transcripts are sent to an AI-driven sentiment analysis service to gauge the emotional tone of the conversation.

Getting Started with Plivo’s Voice API

To deploy this solution, follow these steps:

  1. Sign Up with Plivo: Create an account and procure a phone number via the API or console.
  2. Set Up Your Application: Associate the number with an application that initiates calls and establishes audio streaming over the WebSocket. Use the sample code below as a reference:
<Response>
<Stream bidirectional="false" audioTrack="both" contentType="audio/x-l16;rate=16000">wss://your_websocket_url/</Stream>
<Dial>
<Number>{Agent's SIP phone endpoint address}</Number>
</Dial>
</Response>

  1. Integrate with AI Services: Follow Plivo’s audio stream integration guide on GitHub to set up your chosen transcription and sentiment analysis tools.
  2. Test Your Setup: Dial the configured phone number to trigger the call, establish the audio stream, and observe the transcription and sentiment analysis in action.

Why Choose Plivo?

Plivo’s Voice API and audio streaming features are designed for flexibility and efficiency, making it easy to integrate with any AI-driven transcription and sentiment analysis services. This versatility ensures that you can customize the solution to fit your specific needs, enhancing your contact center’s quality assurance processes with advanced automation.

By leveraging Plivo’s application, you can automate call quality analysis, providing valuable insights that help improve agent performance and customer satisfaction. Get started today and take your contact center to the next level with Plivo’s powerful integration capabilities. For more details, explore our developer resources and start optimizing your customer interactions now. Happy analyzing!

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