Online Vehicle Service Management System

Abstract

According the latest surveys on the population of human. the population of humans on earth are increasing. Mostly all of us have their own vehicle. So, there is a need of vehicle service centre and the vehicle centre mostly will be busy especially during festive seasons. in older version of this system, they used manual report making which leads to error in collection of vehicle owner details t. Staffs in their service station will not have enough needs to handle many customers at the same time. Thus, with the existing of Vehicle Service Management System Using web application. the vehicle service centre management can be made easily. The objectives of this system are to design and develop a new system which can help to manage task in more organized manner using web application This is the way, by which the task can be handled according to priority of booking time. It is also included a system where the staffs who handle the repair task and distribute the task accordingly. The web application system will assign the repair task to the staff and it also allocate the doorstep pick up of your service. This web application system is used to distribute job task and job schedule .this system is implemented using php with the help of xamp server where enough dataset is stored for implementation of this project.

Introduction

The project focuses on developing a web-based Online Vehicle Service Management System to overcome the limitations of traditional manual vehicle service processes. With the increasing number of vehicles, managing service bookings, customer records, mechanic assignments, and billing manually becomes inefficient and time-consuming. The proposed system simplifies service booking, improves organization, and includes features such as online slot booking and doorstep vehicle pickup, making the process more convenient for customers. It also allows mechanics to track their tasks and manage salary-related information after job completion.

The literature review discusses existing vehicle service platforms such as Gaadizo, MyMazda, and Pepboys, which provide online booking, service tracking, and appointment scheduling features. However, many traditional garages still operate manually, leading to issues such as lack of proper customer records, no real-time service updates, poor task assignment mechanisms, limited feedback options, and difficulty in managing invoices. These challenges highlight the need for a centralized digital system.

The system is developed using PHP, MySQL, and Apache server, with basic hardware and software requirements. The architecture includes two main user roles: Admin and Customer.

• The Admin Module allows the owner to manage customers, mechanics, enquiries, invoices, attendance, salaries, feedback, and performance tracking through a dashboard.

• The Customer Module enables users to create service requests, track approval status, view budgets, download invoices, and provide feedback.

The system improves efficiency, transparency, and communication between customers and service providers by automating operations and maintaining centralized records.

Future enhancements include integration with other business systems, predictive analytics for better service planning, mobile app development, and advanced technologies like blockchain to improve security and transparency.

Conclusion

The proposed system provides an efficient and effective way to manage and store medical records. The system addresses the issues faced by health care organizations in maintaining paper-based records and reduces the risk of errors and data loss. The use of technology in healthcare has become increasingly important in recent times, and this system offers an innovative solution that can be adopted by healthcare providers worldwide. The implementation of the system has demonstrated its feasibility and potential to improve healthcare services. The system has shown to be easy to use and user- friendly, reducing the learning curve for healthcare professionals. It has also reduced the time and effort required to manage medical records, freeing up valuable resources for patient care. As with any technology, there is always room for improvement. In the future, the system can be further enhanced by integrating more advanced features such as data analytics, machine learning, and artificial intelligence. These features can help in the early detection of diseases and improve the accuracy of diagnosis, leading to better patient outcomes.

References

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Copyright

Copyright © 2026 Bhor Atharv Kishor, Fartade Atharv Parmeshwar, Jadhav Pratik Ganesh, Poonam Khandekar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.