Safeguarding Restaurants from Point-Of-Sale Fraud: an Evaluation of a Novel Theft Deterrent Application Using Artificial Intelligence

Galen R. Collins
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引用次数: 7

Abstract

The purpose of this article is to evaluate a unique theft deterrent application for restaurant point-of-sale (POS) systems developed by Radiant Systems (now part of NCR Corporation), a provider of POS technology to the hospitality and retail industries. This artificial intelligence (AI) application, Aloha Restaurant Guard (ARG), is used with the Aloha POS system (65,000 installations worldwide) and has been deployed in more than 6000 quick service and table service restaurants in the United States and the United Kingdom. The following research question guided this case study: Is ARG effective in theft detection and prevention?
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保护餐馆免受销售点欺诈:使用人工智能的新型盗窃威慑应用的评估
本文的目的是评估由Radiant systems(现为NCR Corporation的一部分)开发的餐厅销售点(POS)系统的独特防盗应用程序,该公司是酒店和零售行业POS技术的提供商。这种人工智能(AI)应用程序,Aloha Restaurant Guard (ARG),与Aloha POS系统(全球65,000个安装)一起使用,并已在美国和英国的6000多家快速服务和餐桌服务餐厅中部署。以下研究问题指导了本案例研究:ARG在盗窃检测和预防方面是否有效?
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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