Implementing a Low-Code AI-Based Chatbot on Azure combined with Boomi Integration

The research discusses the background, importance and different types of a chatbot. It also covers a low-code chatbot implementation's theoretical and empirical parts. Low-code platforms are becoming increasingly popular for building applications, including chatbots. For example, using a low-code platform, developers can quickly and easily create chatbots without writing a large amount of complex code. Different platforms are available for building a low-code chatbot. The author shows how easily a low-code chatbot can be developed using Microsft Azure Bot Framework Composer and Boomi Integration. The two low-code platforms are a perfect combination for chatbot development. Microsoft Bot Framework Composer creates the UI for the chatbot, and Boomi Integration fetches the data from a database. In the research implementation, Boomi integration uses free data available in a cloud database and creates an API. On the other hand, Bot Framework Composer uses the API to access the data and provide the information a user needs. An interaction between a bank and its customer is used as a case for the implementation. The implementation doesn't include data creation in a database; instead, it uses available data in the cloud database. Also, the chatbot developed is not published on any website or messaging platform. The final result of the implementation is tested in Microsoft Bot Framework Emulator and works perfectly. The whole chatbot development process shows how easy and flexible it’s to use a low-code chatbot building method. Therefore, this method can be beneficial for creating chatbots focused on specific tasks, such as answering frequently asked questions or customer support