Evaluating Retailers in a Smart-buying Environment using Smart City Infrastructures

Dimitrios Amaxilatis, K. Giannakopoulou
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引用次数: 5

Abstract

In modern cities, most citizens are interested in buying from e-shops or mostly buy from large shopping brands. This is a challenge for small and medium-sized retailers, who cannot afford to maintain IT infrastructures and skills. The ongoing R&D project SMARTBUY, tries to close this gap by providing a platform for small and medium-sized retailers to become the place where they can easily make their products and promotions visible online for local audiences, along with a mobile application for customers. An important issue in this context is the evaluation of the retailers. In this work, we introduce a new evaluation application for assessing the quality of the retailer services. Customers have the chance to rate the behavior and the offers that the retailers provide to them. This evaluation service is based on the SMARTBUY platform and is developed upon the OrganiCity Experimentation Platform. The evaluation application is a novel approach to generate knowledge for the retailer shops inside a future city using both data from open city datasets as well as feedback from citizens. Such an application is deemed useful to both customers, to identify retailers with best offers and services, and retailers as an incentive to improve their services.
使用智慧城市基础设施评估智能购买环境中的零售商
在现代城市,大多数市民都有兴趣在网上购物,或者主要从大型购物品牌购买。这对中小型零售商来说是一个挑战,因为他们负担不起维护IT基础设施和技能的费用。正在进行的研发项目SMARTBUY试图通过为中小型零售商提供一个平台来缩小这一差距,在这个平台上,他们可以轻松地向当地观众展示他们的产品和促销活动,同时为客户提供一个移动应用程序。在这种情况下,一个重要的问题是对零售商的评价。在这项工作中,我们介绍了一种新的评估应用程序来评估零售商的服务质量。顾客有机会对零售商提供给他们的行为和优惠进行评价。此评估服务基于SMARTBUY平台,并在OrganiCity实验平台上开发。评估应用程序是一种新颖的方法,可以使用来自开放城市数据集的数据和来自市民的反馈来为未来城市中的零售商商店生成知识。这样的应用程序被认为对客户和零售商都是有用的,可以识别出提供最佳优惠和服务的零售商,也可以激励零售商改进他们的服务。
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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