Retail Analytics in the New Normal: The Influence of Artificial Intelligence and the Covid-19 Pandemic

Q1 Business, Management and Accounting
Yossiri Adulyasak;Maxime C. Cohen;Warut Khern-Am-Nuai;Michael Krause
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引用次数: 0

Abstract

The COVID-19 pandemic has severely disrupted the retail landscape and has accelerated the adoption of innovative technologies. A striking example relates to the proliferation of online grocery orders and the technology deployed to facilitate such logistics. In fact, for many retailers, this disruption was a wake-up call after which they started recognizing the power of data analytics and artificial intelligence (AI). In this article, we discuss the opportunities that AI can offer to retailers in the new normal retail landscape. Some of the techniques described have been applied at scale to adapt previously deployed AI models, whereas in other instances, fresh solutions needed to be developed to help retailers cope with recent disruptions, such as unexpected panic buying, retraining predictive models, and leveraging online–offline synergies.
新常态下的零售分析:人工智能和 Covid-19 大流行的影响
COVID-19 大流行严重破坏了零售业的格局,加速了创新技术的采用。一个突出的例子就是网上杂货订单的激增以及为促进这种物流而部署的技术。事实上,对许多零售商来说,这次疫情扰乱给他们敲响了警钟,使他们开始认识到数据分析和人工智能(AI)的威力。在本文中,我们将讨论在新常态下人工智能能为零售商带来的机遇。其中描述的一些技术已被大规模应用,以调整先前部署的人工智能模型,而在其他情况下,则需要开发新的解决方案,以帮助零售商应对最近的干扰,如意想不到的恐慌性购买、重新训练预测模型以及利用线上线下协同效应。
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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来源期刊
IEEE Engineering Management Review
IEEE Engineering Management Review Business, Management and Accounting-Management of Technology and Innovation
CiteScore
7.40
自引率
0.00%
发文量
97
期刊介绍: Reprints articles from other publications of significant interest to members. The papers are aimed at those engaged in managing research, development, or engineering activities. Reprints make it possible for the readers to receive the best of today"s literature without having to subscribe to and read other periodicals.
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