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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM30140
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The Smart E-Cart Trolley for Shopping Mall represents a pioneering solution aimed at revolutionizing the traditional shopping experience. In metropolitan areas where visiting large malls is commonplace, this prototype aims to alleviate the common frustrations associated with long queues at billing counters and the arduous process of product identification.Central to this innovation are sophisticated technologies such as RFID tags, NodeMCU, and Arduino Nano, seamlessly integrated to automate the checkout process and enhance customer convenience. Through RFID tags attached to products, the trolley enables effortless identification and tracking of items, eliminating the need for manual scanning at checkout counters. The integration of NodeMCU facilitates real-time data processing and storage, ensuring seamless transmission of product information to a central server.Moreover, the Smart E-Cart Trolley offers a user-friendly interface, personalized recommendations, and real-time promotions, providing customers with a tailored shopping experience. By leveraging environmental sensing capabilities, the prototype ensures optimal storage conditions for perishable goods, further enhancing customer satisfaction.While challenges such as technological complexity, cost, and privacy concerns exist, the Smart E-Cart Trolley presents a promising solution to streamline the shopping experience and improve operational efficiency in retail environments. With future enhancements focusing on advanced AI integration, augmented reality features, and robotic assistance, the prototype is poised to redefine the future of retail, setting new standards for convenience, personalization, and innovation.
KEYWORDS
Publication Date
12/31/45386
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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