In the telecom industry, the process of resolving service tickets is cumbersome and time-consuming. The support staff has to manually categorize these tickets and quickly find resolutions. We present “Ticket Genie,” a predictive analytics framework that expedites this process of finding resolutions. The framework automatically predicts resolution categories of new tickets and clusters similar tickets together using predictive machine learning techniques with up to 90% accuracies. Being deployed as a web service, Ticket Genie can be integrated into various ticket management systems with minimal efforts. With this expedited processing, we hope to achieve faster resolution leading to greater customer satisfaction.