HOTEL & RESTAURANT MANAGEMENT SYSTEM: CORE TRANSACTION 1 ( ROOM RESERVATION MANAGEMENT, TABLE RESERVATION MANAGEMENT, BOOKING CALENDAR AND AVAILABILITY), USING AI CUSTOMER ASSISTANT

Abstract

In the modern service industry, integrating a comprehensive Hotel and Restaurant Management System (HRMS) has become essential for optimizing operations and enhancing customer experience. Among its core functions is the management of room reservations, supported by modules for activity and table reservations that streamline operations and enable efficient resource allocation. The system also facilitates predictive analytics and data-driven decision-making, improving revenue management while simultaneously increasing customer satisfaction by ensuring availability during peak periods. We aim to develop a comprehensive, efficient, and user-friendly platform capable of managing key transactions such as accommodation reservations, table reservations, and event bookings. In response to the complexity and evolving nature of customer needs, the Agile Scrum methodology was adopted for its iterative, adaptable, and collaborative approach to project management. This framework emphasizes early delivery, adaptive planning, and continuous improvement, enabling the system to effectively respond to change. The implementation of the Hotel and Restaurant Management System resulted in notable improvements in efficiency, accuracy, and user satisfaction across all core modules. The Room Reservation Management module provided real-time updates on room availability, effectively eliminating double bookings. The Table Reservation Management module enabled customers to select table preferences and complete bookings seamlessly. Additionally, the integration of natural language interaction assisted users with inquiries and reservations, contributing to a more interactive and convenient user experience. The integration of AI and automated management tools into hotel and restaurant operations significantly enhanced reservation accuracy, customer satisfaction, and overall operational efficiency. The system demonstrated scalability and reliability, making it a valuable solution for hospitality businesses.