Full cycle chatbot application using
machine learning and NLP framework
Overview
Rebel is an online lending platform that is leading a change in the Brazilian financial system by offering personal loans to customers that are fast and secure with the help of smart contract technology.
How We Solved It
Sphere implemented a full-cycle chatbot development approach for Rebel through language parsing, syntax parsing, and machine learning technologies. The original XML interface of the chatbot was enhanced by using React.js and Angular.js for the web-facing application, and Spring Boot and JavaScript for the back-end. The new interface successfully removed the “rough edges” of the chat bot, and allowed it to assist both internal representatives and Rebel’s customers.
Sphere and Rebel also grew the knowledge database to provide quicker and more tailored answers. For example, if a customer asked about the status of their loan, Rebel needed their chatbot to first ask for the loan ID and then open the back-end application to contextualize the loan ID.
