Experimental Procedure to Design a Smart Shopping Trolley for Supermarkets by Using Internet of Things (IoT) Association

This paper presents the design and development of a smart shopping trolley using Internet of Things (IoT) technology to enhance the supermarket shopping experience. The trolley is equipped with RFID sensors, weight sensors, barcode scanners, and GPS to automate item scanning, provide real-time price updates, and track trolley location. The system was tested over 30 days in a supermarket environment, and key performance metrics were recorded, including item detection speed, weight sensor accuracy, and system reliability. The trolley achieved an average item detection accuracy of 98.2%, with a reduction in checkout times by 40% compared to traditional methods. Customer feedback indicated an average satisfaction rate of 90%, with real-time updates being particularly appreciated. Error rates, including failed item detection and price calculation errors, decreased over time, demonstrating the system's capacity to self-optimize. Overall, the smart shopping trolley provides an efficient, user-friendly solution for supermarkets, improving both operational efficiency and customer experience. Future improvements will focus on refining AI-based product recommendations and integrating more advanced inventory management capabilities.