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arXiv:2312.00046 (cs)
COVID-19 e-print

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[Submitted on 27 Nov 2023]

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

Authors:Yossiri Adulyasak, Maxime C. Cohen, Warut Khern-am-nuai, Michael Krause
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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.
Subjects: Computers and Society (cs.CY); Artificial Intelligence (cs.AI)
Cite as: arXiv:2312.00046 [cs.CY]
  (or arXiv:2312.00046v1 [cs.CY] for this version)
  https://doi.org/10.48550/arXiv.2312.00046
Journal reference: IEEE Engineering Management Review (2024), 52:1, 268-280
Related DOI: https://doi.org/10.1109/EMR.2023.3337415

Submission history

From: Warut Khern-Am-Nuai [view email]
[v1] Mon, 27 Nov 2023 08:16:30 UTC (486 KB)
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