Customized Automated Email Response Bot Using Machine Learning and Robotic Process Automation

Abstract

Email is one of the most reliable, dependable, authentic, genuine and frequently used modes of communication in corporate world. It is a common practice in corporate culture to send an automatic response to new incoming messages but it is very generic and limited in extent of its utility. A system can be designed to substitute the tedious task of replying to thousands of mails manually. This work proposes a system which in broader context automates the task of responding to a client. It aims to mitigate the laborious task of perusing through email manually by customizing the response as per the query of the user and fabricating a reply accordingly. The proposed system proves the effectiveness of the approach in its implementation.

Keywords: Email, Robotic Process Automation, Associative Learning Algorithm, Support Vector Machine, Text Rank Algorithm, Email Classification