Shrinivas Umanwar,
Madhuri Sonkhaskar,
Harsh Sable,
Akash Walunj,
- Student, Department of Electronics and Telecommunication Engineering, SKNCOE, SPPU, Pune, Maharashtra, India
- Student, Department of Electronics and Telecommunication Engineering, SKNCOE, SPPU, Pune, Maharashtra, India
- Student, Department of Electronics and Telecommunication Engineering, SKNCOE, SPPU, Pune, Maharashtra, India
- Student, Department of Electronics and Telecommunication Engineering, SKNCOE, SPPU, Pune, Maharashtra, India
Abstract
This project report presents the design, development, and implementation of an RFID and IoT-based Smart Trolley System. The project is a collaborative effort undertaken by a group of dedicated individuals. The primary objective is to enhance the traditional shopping experience by leveraging advanced technologies to improve efficiency, convenience, and data analytics in retail environments. The Smart Trolley System integrates Radio-Frequency Identification (RFID) technology and the Internet of Things (IoT) to create an intelligent and automated shopping cart. Each trolley is equipped with an RFID reader and sensors connected to the IoT platform. RFID tags are attached to the products in the store, allowing for seamless tracking and identification. The system facilitates an automated and frictionless checkout process, eliminating the need for manual scanning of each item. As customers add or remove items from their trolley, the RFID reader updates the cart’s contents in real-time. The IoT platform ensures that this information is securely transmitted and processed. Furthermore, the system offers detailed data analytics to retailers, enabling better inventory management and personalized marketing strategies. By integrating these advanced technologies, the Smart Trolley System aims to revolutionize the shopping experience, making it more efficient and enjoyable for both consumers and retailers. The implementation of this Smart Trolley System also addresses common issues such as long waiting times at checkout counters and the inefficiency of manual inventory management. By automating these processes, the system not only enhances the shopping experience but also allows store employees to focus on more critical tasks, thereby improving overall service quality. Moreover, the data collected through the IoT platform can be analyzed to gain insights into customer behavior, helping retailers to optimize store layouts and product placements. This can lead to increased sales and customer satisfaction, further demonstrating the significant impact of integrating IoT and RFID technologies in retail environments.
Keywords: RFID, IoT, Smart Trolley, sensors, RFID Tags
[This article belongs to Journal of Semiconductor Devices and Circuits ]
Shrinivas Umanwar, Madhuri Sonkhaskar, Harsh Sable, Akash Walunj. Smart Trolley System for Retail Stores: A Node MCU-Based Approach for IoT Integration. Journal of Semiconductor Devices and Circuits. 2024; 11(02):-.
Shrinivas Umanwar, Madhuri Sonkhaskar, Harsh Sable, Akash Walunj. Smart Trolley System for Retail Stores: A Node MCU-Based Approach for IoT Integration. Journal of Semiconductor Devices and Circuits. 2024; 11(02):-. Available from: https://journals.stmjournals.com/josdc/article=2024/view=167653
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References
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Journal of Semiconductor Devices and Circuits
| Volume | 11 |
| Issue | 02 |
| Received | 09/07/2024 |
| Accepted | 17/07/2024 |
| Published | 04/08/2024 |
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