Abstract
Today's digital age demands effective customer service and issue resolution from businesses and organizations. Conventional ticketing systems require manual effort that is resource-intensive and time-consuming. To overcome these disadvantages, this project investigates the creation of an online chatbot-based ticketing system that would automate customer interactions, log issues, and forward them to the right departments for timely resolution. The chatbot, embedded in a web-based interface, applies natural language processing and structured data capture to interact with users, document their issues, and auto-assign tickets. The system not only accelerates the speed of service but also raises the level of user satisfaction through immediate feedback and elimination of waiting times. The innovation applies leading technologies to automate functions and enhance productivity. In addition, the project emphasizes the technical architecture, implementation plan, and test phases of creating the chatbot based system. The suggested solution has been proven to work across different use cases and can be modified to suit other industries. Generally, it is an improvement in digital customer care and automated support models.
Keywords
Chatbot, Ticketing System, Customer Support, Web Application, NLP, Helpdesk.
Citations
IRE Journals:
Avula Maha Lakshmi , C Sowbhagya Deepika , Aabiroo Arshad , Jai Kumar B
"Online Chatbot Based Ticketing System" Iconic Research And Engineering Journals Volume 8 Issue 11 2025 Page 738-746
IEEE:
Avula Maha Lakshmi , C Sowbhagya Deepika , Aabiroo Arshad , Jai Kumar B
"Online Chatbot Based Ticketing System" Iconic Research And Engineering Journals, 8(11)
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