Digital Queue Management and Guest Handling System in Restaurant

Abstract: Managing queues and handling guests efficiently have become essential for restaurants aiming to deliver smooth and satisfying dining experiences. Traditional walk-in and manual reservation systems often lead to long waiting times, confusion during peak hours, and an overall decline in service quality. This paper presents a smart queue and guest management system designed to simplify restaurant operations through the integration of IoT sensors, cloud computing, and artificial intelligence. The system enables guests to join a virtual queue using a mobile application or self-service kiosk, view real-time waiting updates, and receive digital notifications when their table is ready. At the same time, predictive algorithms help restaurant managers allocate seating and staff resources more effectively. Experimental testing in a simulated environment showed a significant reduction in customer waiting times and improved table-turnover efficiency. The proposed approach demonstrates how digital queue systems can modernize restaurant service, reduce operational stress, and enhance overall customer satisfaction.

Keywords: Augmented Reality, Artificial Intelligence, Virtual Try-On, Fashion Technology, 3D Body Modeling, Clothing Simulation