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AI-Powered Supermarket Management System

D.U. Wijesinghe; W.E.M.D.H.C. Wijesinghe; S.I. Wijekoon; L.D.C.S Subhashini

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14 AI-Powered Supermarket Management System D.U. Wijesinghe1, W.E.M.D.H.C. Wijesinghe2, S.I. Wijekoon3, Dr. L.D.C.S Subhashini4 Department of Information Technology, Faculty of Management Studies and Commerce University of Sri Jayewardenepura, Sri Lanka 1[email protected], 2[email protected]m, 3[email protected], 4[email protected] Abstract This project presents an AI-powered Supermarket Management System (SMS) designed to streamline operations in small to medium-sized supermarkets, typically managed by a single owner. Many such businesses rely on manual processes, leading to inefficiencies such as delayed checkouts, inaccurate inventory tracking, inconsistent promotional applications, and inadequate customer data management. These challenges result in operational inefficiencies and reduced customer satisfaction. The proposed SMS integrates essential functionalities, including Point of Sale (POS), Inventory Management, Promotions, and Customer Management, into a unified system. Developed using Qt Creator for the graphical user interface and MySQL for backend database management, the system ensures real-time data updates, automation of critical processes, and improved accuracy in daily operations. Key features include automatic discount applications, stock alerts, and customer purchase tracking, helping managers make informed decisions efficiently. Extensive testing confirmed the system’s ability to enhance transaction speed, minimize errors, and optimize inventory and customer management. These improvements contribute to higher operational efficiency and an improved shopping experience for customers. However, the system has certain limitations, such as the lack of remote access and advanced reporting capabilities. Future enhancements could include cloud integration, mobile accessibility, and ecommerce functionality, making the system more versatile and scalable. Overall, this AI-powered SMS modernizes supermarket management by addressing the specific needs of small-scale operators. By leveraging automation and real-time data processing, the system enhances decision-making, reduces manual workload, and improves overall business performance. This project highlights the transformative potential of technology in revolutionizing traditional retail operations and paving the way for smarter, more efficient supermarket management. Keywords: Supermarket management system, Artificial Intelligence, Customized barcodes