A Machine Learning Based Model for Classification of Customer Service’s Email

Business-critical emails continue to grow in volume, and it is becoming increasingly important to automate the management of these emails. Automation can bring multiple benefits, such as more efficient classification/categorization and improved customer service. Moreover, automated email management can help in saving time and resources by automating mundane tasks like sorting and filing emails into relevant folders. This allows the team to focus on more important tasks, such as responding to customer inquiries in a timely manner. Accomplishing the objective of the study also allows for faster response times, improved customer service, better compliance with regulations, and more organized data management. The goal of this research is to develop automated techniques for classifying emails into predefined categories. The research guidelines include identifying existing approaches to email classification, developing algorithms and methods for improving the accuracy and speed of classification, exploring new data sources, and evaluating the performance and usability of the system.