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A design model for knowledge-based pricing services in the retail industry

机译:零售行业中基于知识的定价服务的设计模型

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摘要

Marketing research has identified several benefits of dynamic pricing strategies in the retail industry. However, today's retailers are limited to apply them in real-time to customer needs as corresponding pricing services provided by smart product infrastructures have not been adopted so far. In addition, dynamic pricing strategies rely on a business service ecosystem of retailers, suppliers, customers and regulatory bodies and thus, interoperability is required. Because unprecedented, our objectives are therefore to propose, implement and evaluate a design model for pricing services that rely on explicit semantics and rules, denoted as knowledge-based pricing services (KPSs). In this work, we propose a design model for KPSs and empirically evaluate their utility from a customer perspective with the help of a web-based application. We finally draw implications for business models in the retail industry and discuss tools that already exist to adopt KPSs in the near future.
机译:营销研究已经确定了动态定价策略在零售行业中的若干好处。但是,由于迄今为止尚未采用由智能产品基础设施提供的相应定价服务,因此当今的零售商仅限于实时将其应用于客户需求。此外,动态定价策略依赖于零售商,供应商,客户和监管机构的业务服务生态系统,因此需要互操作性。由于这是空前的,因此我们的目标是提出,实施和评估依赖显式语义和规则的定价服务设计模型,称为基于知识的定价服务(KPS)。在这项工作中,我们提出了KPS的设计模型,并在基于Web的应用程序的帮助下从客户的角度经验性地评估了它们的效用。最后,我们对零售行业的业务模型进行了说明,并讨论了在不久的将来采用KPS的工具。

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