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Original Article

An IoT-Enabled RFID-Based Smart Autonomous Shopping Trolley for Real-Time Billing and Retail Automation

Dr. B. Babu1 A. Asha Kiran2 P. Mohana3

1 Associate Professor, ECE, SVCN, Nellore, Andhra Pradesh, India. 2 Assistant Professor, AI&ML, SVCN, Nellore, Andhra Pradesh, India. 3 Assistant Professor, ECE, SVCN, Nellore, Andhra Pradesh, India.

Published Online: May-August 2026

Pages: 19-23

Cite this article

↗ https://www.doi.org/10.59256/indjece.20260302002
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Abstract

The retail industry is rapidly adopting smart technologies to improve customer convenience and operational efficiency. Conventional barcode-based billing systems require manual scanning of products, resulting in long queues, increased billing time, and higher Labor costs. This paper presents an Internet of Things (IoT)-enabled RFID-based Smart Autonomous Shopping Trolley designed to automate product identification and billing processes in retail environments. The proposed system utilizes a Node MCU ESP8266 microcontroller, EM18 RFID reader, RFID tags, I2C LCD display, and Wi-Fi communication module to create an intelligent shopping platform. Products are identified automatically through RFID technology and the billing information is updated in real time on both a local display and a web-based interface. The system also supports item removal functionality through a dedicated control mechanism. Experimental implementation demonstrates improved billing efficiency, reduced waiting time, enhanced shopping experience, and accurate product tracking. The proposed solution offers a scalable and cost-effective framework for next-generation smart retail applications.

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Citations

Dr. B. Babu, A. Asha Kiran, P. Mohana, “An IoT-Enabled RFID-Based Smart Autonomous Shopping Trolley for Real-Time Billing and Retail Automation”, Indian Journal of Electronics and Communication Engineering, Volume 03, Issue 02, May-August 2026, PP: 19-23.

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Licensing

© 2026 The Author(s). Published by Fifth Dimension Research Publication.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

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