Automated checkout systems promise greater sales due to an improved customer experience and cost savings because less store personnel is needed. The present design-oriented IS research study is concerned with an automated checkout solution in fashion retail stores. The implementation of such a cyberphysical system in established retail environments is challenging as architectural constraints, well-established customer processes, and customer expectations regarding privacy and convenience impose limits on system design. To overcome these challenges, the authors design an IT artifact that leverages an RFID sensor infrastructure and software components (data processing and prediction routines) to jointly address the central problems of detecting purchases in a reliable and timely fashion and assigning these purchases to individual shopping baskets. The system is implemented and evaluated in a research laboratory under real-world conditions. The evaluation indicates that shopping baskets can indeed be detected reliably (precision and recall rates greater than 99%) and in an expeditious manner (median detection time of 1.03 s). Moreover, purchase assignment reliability is 100% for most standard scenarios but falls to 42% in the most challenging scenario.

中文翻译：

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时装零售业的数字化转型：自动化结账系统的面向设计的 IS 研究

由于需要更少的商店人员，自动结账系统可以改善客户体验并节省成本，从而有望增加销售额。当前以设计为导向的 IS 研究涉及时尚零售店的自动结账解决方案。由于架构限制、完善的客户流程以及客户对隐私和便利的期望对系统设计施加了限制，因此在已建立的零售环境中实施此类网络物理系统具有挑战性。为了克服这些挑战，作者设计了一个 IT 工件，利用 RFID 传感器基础设施和软件组件（数据处理和预测程序）共同解决以可靠和及时的方式检测购买并将这些购买分配到各个购物篮的核心问题. 该系统在研究实验室中在真实条件下实施和评估。评估表明，购物篮确实可以被可靠地检测到（准确率和召回率大于 99%）并且以快速的方式（中值检测时间为 1.03 秒）。此外，对于大多数标准场景，购买分配可靠性为 100%，但在最具挑战性的场景中降至 42%。