Full cycle chatbot application using machine learning and NLP framework
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.
Rebel wanted to develop chat bots that would not only assist their internal customer service representatives but also enhance their customer’s experience while lowering costs. However, before Rebel’s chatbot could assist customers, they needed to first enrich its knowledge-base and train the chatbot by utilizing the expertise of their customer service agents.
How We Solved It
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.
Machine learning and an open NLP framework were used to improve the chatbot’s ability to learn and interact with customers. Once the chatbot was completed, Sphere provided full maintenance and technical support.
Through our approach, Rebel was able to achieve their business goals by reducing costs and creating a competitive advantage by adopting the technology that will play a key role in the future of customer support.