Deploying a Location-Based Coupon Recommendation Service in Retail: Challenges and Lessons Learnt

Vasilis Stavrou;Anastasia Griva;Cleopatra Bardaki
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Abstract

Location-based services have been increasingly used to support various decisions in retail such as coupon recommendation, indoor advertisement, smart targeting, etc. However, effectively tracking user’s position to provide extra value embeds several challenges ranging from technical and infrastructure to business, user acceptance and social. This paper presents a location-based coupon recommendation service deployed in a retail store, using Bluetooth Low Energy (BLE) Beacons technology to track the customers. We aim to share the challenges we encountered, and the factors that affected our system’s quality and performance; and show how we handled the issues that arose. Our study moves beyond the technical challenges and discusses the business and user acceptance challenges, highlighting the role of the application context. This paper aspires to provide realistic and more holistic, not just technical, guidelines on prospective researchers and designers of location-based services for retail stores and other contexts. The outcome of the paper highlights new directions for existing challenges and introduces new ones related to beacon configuration, the choice of the unit of analysis, the definition of areas of interest, and acceptance by employees.
在零售业部署基于位置的优惠券推荐服务:挑战与经验教训
基于位置的服务越来越多地被用于支持零售业的各种决策,如优惠券推荐、室内广告、智能定位等。然而,要有效跟踪用户位置以提供额外价值,需要应对从技术和基础设施到商业、用户接受度和社会等多个方面的挑战。本文介绍了一种基于位置的优惠券推荐服务,该服务部署在一家零售店中,使用蓝牙低功耗(BLE)信标技术来跟踪顾客。我们旨在分享我们遇到的挑战以及影响系统质量和性能的因素,并展示我们是如何处理出现的问题的。我们的研究超越了技术挑战,讨论了业务和用户接受度方面的挑战,强调了应用环境的作用。本文希望为未来的研究人员和设计人员提供现实的、更全面的、而不仅仅是技术方面的指导,帮助他们为零售商店和其他环境提供基于位置的服务。本文的成果强调了现有挑战的新方向,并引入了与信标配置、分析单位的选择、感兴趣领域的定义和员工接受度有关的新挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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