Adopts the cutting-edge natural language understanding (NLU) technology and machine learning algorithms.
Automatically analyzes all customer service conversations without manual sampling.
Easy of Use
Allows you to customize speech analysis rules and alerting categories through the user-friendly GUI.
Improves quality inspection efficiency by evaluating customer satisfaction, identifying complaints, and mining valuable details from the customer feedback.
Provides comprehensive and reliable quality inspection services for the call center. Provides intelligent batch analysis of mass recording data in combination with voice recognition and natural language processing technologies.
Automatically analyzes all conversations without the need of manual spot check and works with ASR.
Helps improve the analysis efficiency by taking "customer first" into consideration during identification of customer satisfaction and customer complaints and exploration of high-value customer feedback.
Real-Time Audits on Agents
Provides real-time quality control functions during conversations between agents and customers with utilities able to judge customer emotion and remind the agent to pay attention to proper etiquette and word choices.
Quickly identifies the gap between the agent service and the customer expectation and reminds the agent in a timely manner.
Provides comprehensive APIs to seamlessly integrate with the work interfaces of existing agents.
Allows you to customize multiple keywords and semantic rules to check whether customer service processes are properly aligned.
Automatically detects the mood and speed of the speaker during a call and enriches the dimensions of interaction analysis.
Provides multi-dimensional statistical reports to identify user complaints in a timely manner, improving problem discovery capabilities and mining of high-value information.