| dc.description.abstract | In recent years, Chatbots have become more and more popular, and various Chatbot platforms have appeared one after the other, such as NLP companies like Facebook Wit.ai, Google Dialogflow, IBM Watson, Microsoft LUIS, etc., to the Manychat and Chatfuel platforms without writing programs.
Chat is a basic way of interacting with people. Nowadays communication software is quite common and everyone is using it. Chatbots can be used in many ways, such as online customer service, education, entertainment and personal assistants. They can replace the repetitive customer service work, 24 hours of uninterrupted work, so that customer service staff can handle more complex problems, saving the resource cost of customer service manpower.
This study aims to build a school customer service chatbot with serverless framwork, using Google apps script as the development language, analyzing the semantics with Dialogflow, and using Firebase database to store conversation records, satisfaction records, feedback and build the backend for each administration. The unit establishes a question and answer set. Managers can understand the service status of customer service chatbot according to various data, continuously improve the question and answer set, improve accuracy, and reduce the burden on customer service personnel.
In this paper, in the overall customer satisfaction evaluation, 52 users were invited to join the customer service chatbot to implement the online questionnaire, and the results were analyzed. The average value of the Likert scale was 4.06.The user is agreed with the service of the customer service chatbot mentioned in this paper.
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