AI classification is the process by which CommVoice’s AI analyzes the content of a phone conversation and assigns it to a predefined category, known as a call outcome. This is a core feature of the platform, enabling you to automatically understand the results of your calling campaigns without manually listening to each call.
CommVoice’s classification engine uses a multi-layered approach to analyze conversations:
Transcription: The audio of the call is converted into text.
Natural Language Processing (NLP): The AI analyzes the text to understand the topics discussed, the sentiment of the speakers, and the intent behind their words.
Pattern Recognition: The AI looks for specific keywords, phrases, and conversation patterns that you have defined as being indicative of certain outcomes.
Outcome Assignment: Based on its analysis, the AI assigns the call to the most appropriate outcome category.
You have full control over how the AI classifies your calls. In the CommVoice dashboard, you can:
Define Custom Outcomes: Create your own outcome categories that align with your business goals.
Set Classification Rules: Specify the keywords, phrases, and other criteria that the AI should use to classify calls.
Train the AI: Provide examples of calls that fall into each category to help the AI learn and improve its accuracy over time.
This level of customization ensures that the classification process is tailored to your specific needs and provides you with the most relevant and actionable data.