Customer consultation is scattered in multiple channels such as website chat, APP, telephone, social platform, etc. Customer service needs to frequently switch system interfaces to deal with demands from different channels. The operation process is complicated, which directly reduces the efficiency of single consultation processing and leads to slow overall response.

The historical consultation records of Clients in various channels are not open, making it difficult for customer service to obtain complete interactive information, which not only increases the cost of repeated communication for Clients, but also further prolongs the response time limit.

Customer service personnel are faced with the problems of imperfect knowledge base, isolated information island and delayed professional training, which makes it difficult to efficiently solve complex disputes or provide accurate solutions.

Intelligent customer service has insufficient ability to understand complex user intentions, conduct multiple rounds of coherent conversations, and smoothly transfer personnel, which often leads to irrelevant answers or transfer interruptions, which aggravates customer frustration.

The logistics front-end experience is poor (information update lags behind, distribution problems occur frequently), the return refund policy is complex, the processing is slow, the responsibility definition is vague, causing customer dissatisfaction, increasing the pressure of customer service verification and dispute handling.

Under high consultation volume, customer service service is homogenized, cross-departmental collaboration has communication barriers, unclear processes, unclear rights and responsibilities, long processing cycle of customer demands, and large pressure on customer service.

Customer data is not effectively analyzed, unable to accurately identify service root causes, predict demand trends, logistics after-sales and personalized service optimization lack data support.