Improved Shopping Experience Through RFID Based Smart Shopping System

A. Yong, Muhammad Ehsan Rana, Kamalanathan Shanmugam
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引用次数: 6

Abstract

Shopping is considered as an essential activity for many households and is negatively impacted ever since the COVID-19 pandemic had begun. People are panic buying and crowding without social distancing and practice hygiene after exchanging physical touch with objects or cashiers at retail stores. A Smart Shopping System that utilizes RFID and integrated with mobile website technology can improve efficiency and effectiveness for customers to shop even during a pandemic in a more controlled manner. It can be achieved by integrating closely both hardware and software over an active internet connection to send and receive data for real-time updates for each respective customer. The research aims to facilitate users for an improved shopping experience that highlights the accessibility of easy, contactless purchasing, engaging marketing and simultaneously reduces direct contact with public possessions during the coronavirus (COVID-19) pandemic. An extensive discussion of the existing similar systems reviews, literature review and the current developments are performed in depth. The research gathered public insights through a quantitative research approach and applied the gather data for meaningful information in order to recommend an efficient solution. With the creation and visualization of a prototyping model, the researcher demonstrated how a Smart Shopping System could achieve efficiency and effectiveness in a retail store on a small scale.
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基于RFID的智能购物系统改善购物体验
购物被认为是许多家庭的基本活动,自COVID-19大流行开始以来,购物受到了负面影响。人们在零售店与物品或收银员进行身体接触后,在没有保持社交距离和卫生习惯的情况下进行恐慌性购买和拥挤。利用RFID并与移动网站技术集成的智能购物系统,即使在大流行期间,也可以以更可控的方式提高顾客购物的效率和有效性。它可以通过一个活跃的互联网连接紧密集成硬件和软件,为每个客户发送和接收实时更新的数据来实现。这项研究旨在为用户提供更好的购物体验,强调在冠状病毒(COVID-19)大流行期间,轻松、非接触式购物、吸引人的营销的可及性,同时减少与公共物品的直接接触。对现有的类似系统综述、文献综述和当前的发展进行了深入的讨论。该研究通过定量研究方法收集公众的见解,并将收集到的数据应用于有意义的信息,以便提出有效的解决方案。通过原型模型的创建和可视化,研究人员演示了智能购物系统如何在小规模的零售商店中实现效率和有效性。
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