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首页> 外文期刊>Consumer Electronics Magazine, IEEE >Interaction Data Detection System to Upgrade Brick and Mortar Shops: Metrics Allow Offline Shops to Compete with Online Retailers
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Interaction Data Detection System to Upgrade Brick and Mortar Shops: Metrics Allow Offline Shops to Compete with Online Retailers

机译：互动数据检测系统可升级实体商店：衡量指标允许线下商店与在线零售商竞争

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摘要

The dramatic growth in online business has had a strong impact on brick and mortar shops because of the convenience and efficiency of online transactions. Online retailers can easily predict product sales trends by analyzing the interaction data gathered when customers explore web advertisements, save product items in e-carts, and make purchases. However, in the case of brick and mortar shops, an efficient scheme to assist retailers in obtaining useful information to predict product sales trends is absent. This study introduces a system based on radio-frequency identification (RFID) to help offline retailers detect and analyze the interaction data between customers and products during the sales process. In particular, the interest degree of a product (IDP) can be quantified based on the detected interaction data. If retailers determined that an item is popular with a high IDP value, they can stock more of it and advertise or recommend relevant information via displays in their shops to enhance the sales volume; otherwise, they can organize clearance sales to decrease the probability of overstocking. We tested our prototype, the interaction data detection system (IDDS), in two brick and mortar shops for two months. The results of this prototype test are presented in this article, along with a brief comparison between the proposed IDDS and conventional interaction tracking systems.
机译：由于在线交易的便利性和效率，在线业务的急剧增长对实体店产生了巨大的影响。在线零售商可以通过分析客户浏览网络广告时收集的交互数据，将产品保存在电子购物车中以及进行购买来轻松预测产品销售趋势。但是，在实体店中，缺少帮助零售商获得有用信息以预测产品销售趋势的有效方案。本研究介绍了一种基于射频识别（RFID）的系统，以帮助线下零售商在销售过程中检测和分析客户与产品之间的交互数据。特别地，可以基于检测到的交互数据来量化产品的兴趣度（IDP）。如果零售商确定某件商品具有很高的IDP值，那么他们可以库存更多商品，并通过在商店中的展示来宣传或推荐相关信息，以提高销量；否则，他们可以组织清仓销售以减少积压的可能性。我们在两个实体商店中测试了我们的原型，即交互数据检测系统（IDDS），为期两个月。本文介绍了该原型测试的结果，并简要介绍了所提议的IDDS与常规交互跟踪系统之间的比较。

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