IOT BASED SMART TROLLEY FOR SHOPPING MALLS

IOT BASED SMART TROLLEY FOR SHOPPING MALLS

VINAY N1, SINDHU S L2

1 STUDENT DEPARTMENT OF MASTER OF COMPUTER APPLICATIONS, BIET, DAVANGERE

2ASSISTANT PROFESSOR, DEPARTMENT OF MCA BIET DAVANGERE

Abstract

Shopping malls are central hubs of commercial activity, accommodating a vast array of stores and attracting large crowds of shoppers daily. However, navigating through these bustling environments can be cumbersome, particularly for shoppers managing multiple items or navigating crowded aisles. In this paper, we propose the design and implementation of a Smart Trolley for Shopping Malls(STSM) to enhance the shopping experience and streamline the logistics of shopping trips. The STSM integrates IoT (Internet of Things) technology, sensor networks, and machine learning algorithms to provide real-time navigation assistance, personalized recommendations, and inventory tracking capabilities. Equipped with sensors and cameras, the STSM autonomously navigates through the mall, guiding shoppers to their desired products and alerting them to promotional offers or discounts. Machine learning algorithms analyze shopping patterns and preferences to offer personalized recommendations and suggest complementary items. Additionally, the STSM incorporates inventory tracking functionality to monitor product availability, optimize restocking processes, and prevent stockouts. Through a combination of hardware components, software modules, and cloud-based services, the STSM offers a comprehensive solution for enhancing the shopping experience in malls, improving operational efficiency for retailers, and fostering customer loyalty. Experimental validation and user feedback demonstrate the effectiveness and practical applicability of the STSM in real-world shopping environments.

Keywords: Smart trolley, shopping malls, Internet of Things (IoT), navigation assistance, personalized recommendations, inventory tracking.