Dine Smart: A QR-Based Restaurant Ordering and Management System with Sentiment Analysis

Abstract

Dine Smart is a digital restaurant management solution designed to resolve the common inefficiencies found in traditional dining operations, such as order delays, manual errors, staff dependency, and hygiene concerns. These issues often lead to poor customer experiences, especially during peak hours or in environments where contactless service is preferred. The core problem lies in outdated, labor-intensive workflows that are not only time-consuming but also prone to miscommunication and lack of consistent customer feedback. One of the key challenges for restaurant owners is that they rarely receive feedback from every customer, making it difficult to evaluate service quality or identify areas for improvement. To overcome this, Dine Smart integrates sentiment analysis, which processes customer reviews and comments to automatically determine satisfaction levels. This allows restaurant managers to gain insights from all feedback—both written and unspoken—and make data-driven decisions to enhance service. The system enables customers to scan a QR code at their table to access the menu, place orders, and make reservations without the need for staff interaction. On the administrative side, it provides a centralized platform to manage orders, update menus, and monitor customer sentiment in real time. This research explores the design, methodology, and practical impact of Dine Smart, demonstrating how it offers a modern, contactless, and insight-driven solution that improves restaurant efficiency and customer experience.