DYNAMIC CHATBOT FOR PARKING SERVICE

Abstract

Chatbots, with current technologies that can interpret natural language and engage in human-like conversation, are becoming increasingly popular in the customer support sector. Because Chatbot can be used to provide a wide range of services, a conversational chatbot in the parking industry was created in this study using the Dialog flow bot framework. To name a few, the built chatbot handles sophisticated activities such as reallocating parking spaces, updating registration plates, and cancelling subscriptions. The main significance of this work is the seamless integration of the chatbot and the user's mobile application using custom business logic written in Java to perform dynamic operations. The results demonstrated the ability of a chatbot to handle complex realtime queries and take appropriate action without the need for human intervention. The chatbot was created using Dialog flow, a bot framework. Conversational flows were developed using both linear and non-linear dialogues. In contrast, one of the most important aspects of obtaining user information was accomplished through fulfilment. It does, however, have several drawbacks. To begin with, the created chatbot is the first of its kind, automating many customers service tasks with minimal human intervention. As a result, to fully leverage the chatbot's potential, it has yet to be deployed in a production environment.