In recent years, the retail industry has grown rapidly, and customer expectations have also increased. One of the major problems faced by customers in supermarkets and shopping malls is the long waiting time at billing counters. Traditional billing systems require manual scanning and processing by a cashier, which leads to delays, especially during peak hours. This not only wastes time but also reduces customer satisfaction. To solve this problem, many researchers and industries are focusing on automation in retail systems. Smart retail solutions aim to reduce human effort and improve efficiency using modern technologies. In this paper, we propose a Smart Retail Automation system using Raspberry Pi, which helps in automatic billing through a simple and user-friendly approach. The proposed system uses a barcode scanner to scan products placed in the trolley. Each product has a unique barcode that is read by the scanner. The scanned data is sent to the Raspberry Pi, which acts as the main controller of the system. A Python-based program processes the data and retrieves product details such as name and price from a database. The total bill is automatically updated and displayed on a touchscreen. In addition to this, a buzzer and LED are used to provide feedback to the user whenever a product is scanned successfully. This helps the user to confirm that the item has been added to the bill. The system eliminates the need for manual billing at the counter, thereby reducing waiting time and improving the overall shopping experience. The main objective of this project is to design a low-cost and efficient system that can be easily implemented in retail stores. Unlike complex systems, this solution uses simple components like Raspberry Pi, barcode scanner, and display, making it affordable and practical.

In this paper, a Smart Retail Automation system using Raspberry Pi has been successfully designed and implemented to improve the billing process in retail stores. The system uses a barcode scanner to identify products and automatically calculates the total bill in real time. The use of a touchscreen display allows customers to easily view their selected items and total cost while shopping. The proposed system reduces the need for manual billing at checkout counters, thereby saving time and minimizing long queues. It also improves billing accuracy and provides a simple and user-friendly experience for customers. The integration of QR code-based payment further enhances the system by enabling fast and contactless transactions. Overall the System is cost effective , efficient and easy to use, making it suitable for shopping malls, supermarkets and others retail environment .In the future system can be improved by adding features such as mobile application support , cloud based data storage and advanced product identification techniques . The work demonstrates how automation and embedded system can be effectively used to modernize traditional retail operations.

1. C. D. Schultz and P. Zacheus, “Smart Shopping Carts in Food Retailing: Innovative Technology and Shopping Experience in Stationary Retail,” Vol. 24, No. 1, 2024. 2.O. S. Shinde, A. S. Babar, O. N. Shinde, and V. A. Pandit, “IoT- enabled Intelligent Shopping Trolley with Automated Billing Using Raspberry Pi,” Journal of Modern Mechanical Research, vol. 2, no. 2, May–Aug 2025. 3. S. M. Prof., D. G. B., A. B. R., and M. K. N., “Smart Trolley for Smart Shopping with an Advance Billing System,” IJARCCE, vol. 13, no. 6, 2024. 4. G. Habiby, M. Muskhir, R. Mukhaiyar, H. Habibullah, and A. Luthfi, “Smart Trolley Based on Client-Server and Computer Vision,” Journal of Informatics and Advanced Engineering Education, 2023. 5.R. N. Jogekar, A. Kadav, R. Ghodeswar, P. Chavhan, P. Kadu, and M. Paunikar, “Automated Shopping Trolley Using Raspberry Pi Device,” IJSRCSE Journal, 2022. 6. N. Bodravara, B. S. Angadi, R. S. Menasinghal, M. Pasigar, and M. Naik K., “RFID Based Smart Trolley for Automatic Billing System,” IJERT, vol. 10, no. 11, 2022. 7.S. C. Teli and R. R. K. V. S., “Design of IoT Based Smart Trolley Prototype for Retail Mart,” IRJET, vol. 7, no. 12, 2020. 8. G. A. A. S. et al., “Item Verification on the Smart Trolley System using Object Verification Method,” Procedia Computer Science, 2023. 9.M. S. Wahab et al., “Data Transmission Using RFID System on Smart Shopping,” Procedia Computer Science, 2021. 10.T. Raj, “Automatic Shopping Trolley Using IoT,” ScienceDirect Conference Proceedings, 2023

© 2025 International Journal of Engineering and Techniques (IJET).

Digital Object Identifier (DOI)

IJET assigns a unique DOI to every accepted article via Zenodo for persistent linking and citation. Your article’s DOI: https://doi.org/{{doi}}

Open DOI About Zenodo DOI

Close