Charles schwab's customer service robot can realize core technologies such as natural language understanding and semantic analysis, and can deal with common and complicated problems in financial business such as credit, investment and wealth management. At the same time, the robot can also integrate a variety of channels, including websites, apps, WeChat and so on. , convenient for customers to consult anytime and anywhere.
However, it should be noted that customer consultation in the financial industry often involves some sensitive personal information and privacy. Therefore, in the process of using customer service robots, we should pay attention to protecting the privacy and safety of customers. In addition, although the customer service robot can automatically answer many questions, it needs professionals to answer and deal with some complex questions and personalized needs. Therefore, in the application of customer service robot, it is necessary to combine the actual situation and business needs, comprehensively consider the advantages and disadvantages, and achieve the best results.