RampEX Chat

Our client’s requirements and goals combined with our expertise in business development and machine learning have resulted in a fully-functional training platform that allows creating a plethora of unique chatbots for individual and group training. To make the system function flawlessly, we modified and customized ML libraries, including ChatterBot. The end-client uses the platform as a browser-based service, which makes it convenient to offer as a service for many companies.

This educational service increases the quality of manager-client communication while reducing costs on training. The platform allows managers responsible for staff training to receive reports after each call, leave comments on the audio track, and fill the chatbot’s database with the new information. Thus, managers can control, evaluate, and improve the training process and, as a result, increase the quality of problem solving, client satisfaction, sales, and brand loyalty.

The platform was intentionally made with a limited ML functionality so that the system wouldn’t be able to automatically educate itself but could analyze questions and give proper answers. Each bot represents a client, and to simulate the conversation, we used speech recognition and speech synthesis technologies because of the back-end and front-end peculiarities. The client side of the platform is responsible for processing vocal data while the back-end side transforms it into text for processing and vice versa. All processes of receiving human speech, converting it into text, analyzing data, finding a correct answer, then transforming it back to the vocal format take milliseconds to ensure conditions close to real-life.