Abstract

A smart shopping trolley incorporates technology to improve the shopping experience by providing features such as automatic checkout, item scanning, tailored suggestions, and budget tracking, boosting efficiency and convenience while optimizing purchases. This paper presents a prototype for an intelligent trolley system that follows a human being and does automatic billing. Human followers leverage HC05 Bluetooth, HMC5883L Compass, and GPS Neo 6M. Automatic billing leverages RFID tags for the unique identification of the product. The absence of GPS sensors led to the adoption of a sonar sensor for human followers. The article unfolds innovative solutions and insights gained from navigating IoT complexities, costs, and environmental factors. The paper envisions a future where machine learning and AI optimize the shopping journey, contributing to the continuous evolution of the retail narrative.

Keywords:
Computer science Retail industry Business Advertising

Metrics

6
Cited By
3.24
FWCI (Field Weighted Citation Impact)
34
Refs
0.83
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Urban and Freight Transport Logistics
Physical Sciences →  Engineering →  Building and Construction
Smart Parking Systems Research
Physical Sciences →  Engineering →  Building and Construction

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