Retail Analytics in the New Normal

13 Pages Posted: 10 Mar 2022

See all articles by Yossiri Adulyasak

Yossiri Adulyasak

HEC Montréal

Maxime C. Cohen

Desautels Faculty of Management, McGill University

Warut Khern-am-nuai

McGill University - Desautels Faculty of Management

Michael Krause

affiliation not provided to SSRN

Date Written: January 12, 2022

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.

Keywords: Retail analytics, COVID-19, AI in management

Suggested Citation

Adulyasak, Yossiri and Cohen, Maxime C. and Khern-am-nuai, Warut and Krause, Michael, Retail Analytics in the New Normal (January 12, 2022). Available at SSRN: https://ssrn.com/abstract=4007401 or http://dx.doi.org/10.2139/ssrn.4007401

Yossiri Adulyasak

HEC Montréal ( email )

3000, Chemin de la Côte-Sainte-Catherine
Montreal, Quebec H2X 2L3
Canada

HOME PAGE: http://yossiri.info/

Maxime C. Cohen (Contact Author)

Desautels Faculty of Management, McGill University ( email )

1001 Sherbrooke St. W
Montreal, Quebec H3A 1G5
Canada

Warut Khern-am-nuai

McGill University - Desautels Faculty of Management ( email )

1001 Sherbrooke St. West
Montreal, Quebec H3A1G5 H3A 2M1
Canada

Michael Krause

affiliation not provided to SSRN

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