Let's talk about voice quality inspection first. I have been exposed to traditional voice quality testing. The general customer service team will arrange a special customer service quality inspection colleague to listen to a total recall of a customer service agent, and manually identify whether there are unclear answers, inappropriate emotions, and untimely reflections during the call. This manual form of quality inspection is very inefficient and will take up a lot of labor costs.

Later, some colleagues in the team paid attention to artificial intelligence and learned that AI and big data analysis technology can be used for intelligent quality inspection, which can save a lot of labor costs and operating costs.

Intelligent voice quality inspection generally uses big data processing technology to conduct all-round quality inspection management of voice calls on the basis of voice recognition and language meaning analysis. In addition, different from manual quality inspection, through the power of artificial intelligence, a large number of voices can be automatically detected, effectively avoiding possible deviations and omissions in the process of manual quality inspection. After the introduction of the system, it is really obvious that the quality inspection speed and accuracy have been obviously improved, which is of great help to the safety of the operation and the reduction of the cost.