International Journal of Scientific Research and Engineering Development

Many organizations still rely on manual or semi-digital ticketing systems that lack automation and intelligent management, leading to inefficiencies, delayed resolutions, and poor customer experiences. This study introduces the AI-Assistance Paperless Ticketing and Support System, an innovative platform that automates the entire ticketing process from submission to closure using artificial intelligence technologies. The system utilizes Natural Language Processing (NLP) for intent recognition, Machine Learning (ML) algorithms for intelligent routing, and automated workflows for seamless communication and tracking. Using an Agile software development methodology, the system is designed to automatically classify, prioritize, and route support tickets, eliminating paper-based documentation through fully digital records. By integrating web-based technologies with AI components such as Naive Bayes or Logistic Regression classifiers, the system achieves accurate ticket categorization and provides real-time analytical dashboards for performance monitoring. The proposed system demonstrates how automation and AI can improve operational efficiency, reduce manual effort, accelerate response times, and promote environmental sustainability in modern organizations.

Ghent Mico Nalda, Alexandra Yhan Madarang, Andrea Bea Red, Vivien Agustin, Ronald Fernandez,"AI-Assistance Paperless Ticketing and Support System" International Journal of Scientific Research and Engineering Development, V9(3): Page(1154-1161) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.