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Enterprise Accommodation Booking and Occupancy Tracking Platform
Subject area: Science,Engineering and Technology · Area of research: Computer Applications
DOI: https://doi.org/10.64388/IREV9I9-1715464
Abstract
The rapid growth of organizations and institutions has increased the demand for efficient accommodation management systems. Traditional methods of managing room bookings, occupancy tracking, and user administration are often manual, time-consuming, and prone to errors. This paper presents an Enterprise Accommodation Booking and Occupancy Tracking Platform, a web-based solution designed to streamline and automate the process of room allocation, booking management, and occupancy monitoring. The proposed system enables administrators to manage buildings, floors, and rooms efficiently while allowing users to book accommodations based on availability. It incorporates features such as real-time room status tracking, bulk booking through data import, user activation and deactivation controls, and secure authentication mechanisms. The system also supports centralized data management, improving transparency and reducing redundancy. Developed using modern web technologies and integrated database management, the platform ensures scalability, reliability, and ease of use. By automating key operations and providing real-time insights into occupancy data, the system minimizes manual effort and enhances decision-making capabilities. This solution is particularly beneficial for enterprises, hostels, and organizations requiring structured accommodation management. In conclusion, the proposed platform offers a robust, efficient, and user-friendly approach to handling accommodation booking and occupancy tracking, significantly improving operational efficiency and user experience.
Keywords
Enterprise Accommodation Management, Real-time Occupancy Tracking, ASP.NET Core Architecture, Data Privacy and Cryptography, Role-Based Access Control (RBAC)
How to cite this paper
@article{1715464,
author = {S. Lakshmanan, D. Revathy},
title = {Enterprise Accommodation Booking and Occupancy Tracking Platform},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {9},
pages = {2109-2119},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1715464.pdf},
abstract = {The rapid growth of organizations and institutions has increased the demand for efficient accommodation management systems. Traditional methods of managing room bookings, occupancy tracking, and user administration are often manual, time-consuming, and prone to errors. This paper presents an Enterprise Accommodation Booking and Occupancy Tracking Platform, a web-based solution designed to streamline and automate the process of room allocation, booking management, and occupancy monitoring. The proposed system enables administrators to manage buildings, floors, and rooms efficiently while allowing users to book accommodations based on availability. It incorporates features such as real-time room status tracking, bulk booking through data import, user activation and deactivation controls, and secure authentication mechanisms. The system also supports centralized data management, improving transparency and reducing redundancy. Developed using modern web technologies and integrated database management, the platform ensures scalability, reliability, and ease of use. By automating key operations and providing real-time insights into occupancy data, the system minimizes manual effort and enhances decision-making capabilities. This solution is particularly beneficial for enterprises, hostels, and organizations requiring structured accommodation management. In conclusion, the proposed platform offers a robust, efficient, and user-friendly approach to handling accommodation booking and occupancy tracking, significantly improving operational efficiency and user experience.},
keywords = {Enterprise Accommodation Management, Real-time Occupancy Tracking, ASP.NET Core Architecture, Data Privacy and Cryptography, Role-Based Access Control (RBAC)},
month = {March},
doi = {https://doi.org/10.64388/IREV9I9-1715464}
}