Efficient Restaurant Queue Management through Real-Time Reservation System

Abstract

In contemporary society, managing restaurant queues presents a prevalent challenge. This study aims to create an application that optimizes the reservation process, minimizes wait times, and improves eating efficiency through the use of information and communication technology. The application was created utilizing Firebase as the database backend for a Flutter application. Firebase is a scalable and reliable NoSQL database solution that interacts effortlessly with Flutter. This configuration guarantees user-friendliness and seamless interaction between the database and the Flutter application. Furthermore, Firebase provides real-time data synchronization, rendering it especially advantageous for applications necessitating immediate updates, such as restaurant queue management systems. The researchers assessed the application with actual users, demonstrating substantial decreases in wait times and enhanced customer satisfaction. Research findings demonstrate that the adoption of this method leads to an 85% decrease in waiting times, a 20% enhancement in revenues, and a 90% improvement in customer convenience. The reservation system effectively enhances client happiness and restaurant productivity with a user-friendly interface, efficient queue management, and analytical statistics.