零售店内购物的普适计算技术

Jih-Shyr Yih, F. Pinel, Yew-Huey Liu, T. Chieu
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引用次数: 9

摘要

零售商不断寻找提高顾客满意度的方法,从而在竞争中脱颖而出,增加收入。本文描述了一个利用普适计算技术重新定义店内购物体验的店内商务服务器实现。服务器将现有的销售点系统发展为一个商店集成平台,并配有可重用的店内解决方案构建块。本文说明了如何支持客户接触点,如车载Web pad,以实现位置敏感、个性化购物协助和增量自助结账。新的协作购物范例可以通过与其他销售渠道进行面向服务的流程编排来创建。
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Pervasive computing technologies for retail in-store shopping
Retailers are constantly in search for ways to enhance customer satisfaction so as to differentiate with the competition and increase revenue. This paper describes an in-store commerce server implementation that leverages pervasive computing technologies to redefine the in-store shopping experience. The server evolves the existing point-of-sale systems into a store integration platform complete with reusable in-store solution building blocks. The paper illustrates how customer touch points such as cart-mounted Web pads can be supported to enable location-sensitive, personalized shopping assistance, and incremental self-checkout. New collaborative shopping paradigms can be created by service-oriented process choreography with other sales channels.
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