Artificial intelligence customer service can provide intelligent assistance during the day, share the peak pressure, big data intelligent analysis and other services. In daily customer inquiries, 80% of which are repeated and simple questions, in the daytime routine, simple and repeated questions can be given to intelligent customer service robots to answer, quickly respond to customer inquiries, and help artificial customer service to improve work efficiency and service quality.

Profits and drawbacks of intelligent customer service system

Good stability allows customers to communicate well with customer service, bringing customers a high degree of trust and user experience. Intelligent customer service system can do when communicating with customers, in the form of text and voice to record the conversation. Do real-time comprehensive quality control, improve service quality, and in manual customer service and customer communication to understand the conversation in real time to give text reminders to improve the standardization of customer service machine efficiency, but also to reduce the training of newcomers time and cost.

At present, artificial cooperation is needed to give users a better experience, if only single intelligent customer service, there may be customers some rare and difficult problems can not be solved. Therefore, we have been reminded that intelligent customer service system must be accompanied by labor in order to achieve the best results. Can not because you want to reduce labor costs and all outlaw manual customer service.