STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Communication Engineering & Systems Review Article

RFID-Enabled Smart Shelves and Cart System

  1. Pradnya Bormane Department of Artificial Intelligence and Data Science, All India Shri Shivaji Memorial Society’s Institute of Information Technology, Pune
  2. Ashwin Dalvi Department of Artificial Intelligence and Data Science, All India Shri Shivaji Memorial Society’s Institute of Information Technology, Pune
  3. Aryan Dudhale Department of Artificial Intelligence and Data Science, All India Shri Shivaji Memorial Society’s Institute of Information Technology, Pune
  4. Shrutika Gaikwad Department of Artificial Intelligence and Data Science, All India Shri Shivaji Memorial Society’s Institute of Information Technology, Pune

Abstract

With the fast-paced development of Radio Frequency Identification (RFID) technology, the retail sector is seeing a revolutionary change to improve stock management, cut operational costs, and improve consumer satisfaction. The comparative advantages of RFID-smart shelves and carts over conventional stock management practices, such as barcode scanning and manual stock management, are investigated in this work. Compared to the other methods, in terms of accuracy, efficiency, cost-effectiveness, and scalability, RFID smart shelves provide an incredible 99% inventory accuracy, 30% labour saving, and 50% reduction in the number of out-of-stocks. Automated monitoring of stock, efficient invoicing, and prevention of shoplifting are some of the ways through which the RFID and barcode-based smart shelf and cart system revolutionizes the retail experience. Compared with the time and labour-intensive practices typical of the traditional retail sector, the system facilitates real-time feedback as products move from shelves to carts by using barcode readers and RFID scanners. The high-tech technology expedites checkouts, vastly improves inventory precision, and diminishes the need for human inputs. The capabilities of the system to surpass the conventional methods of real-time monitoring, automation, and scalability despite the challenges in implementation like interference of RFID tags and increased setup costs are envisaged, notwithstanding. Developments like AI predictive replenishment in the future also justify RFID smart shelves and carts as a practical and retail model option for current retail environments.

Keywords

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