Advances in Economics, Management and Political Sciences

- The Open Access Proceedings Series for Conferences


Proceedings of the 3rd International Conference on Business and Policy Studies

Series Vol. 71 , 18 January 2024


Open Access | Article

The Influence of Artificial Intelligence on Retail Marketing

Zexuan Wang * 1
1 Washington University in St. Louis

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 71, 106-111
Published 18 January 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Zexuan Wang. The Influence of Artificial Intelligence on Retail Marketing. AEMPS (2024) Vol. 71: 106-111. DOI: 10.54254/2754-1169/71/20241443.

Abstract

The incorporation of Artificial Intelligence (AI) into the realm of retail marketing signifies a significant and transformative change within the sector. This paper provides a thorough examination of the rising role of AI in the field of retail marketing, highlighting its transformative impact on customer engagement and operational effectiveness. Through a methodical examination of research articles and industry reports, the paper has discovered the diverse impact of AI on various aspects of the retail business. These include data-driven decision-making, insights into customer behavior, the enhancement of omnichannel experiences, as well as the optimization of inventory and pricing strategies. Furthermore, the paper examines the significant obstacles that AI implementation in the retail industry encounters, encompassing concerns related to data protection, financial constraints, and the ever-changing legal and ethical environment. The continuous progress of AI technology is leading to a growing recognition of its capacity to revolutionize retail marketing. This trend highlights the significance of integrating AI into retail operations, as it is no longer merely a strategic option but a necessary requirement for achieving success and maintaining a competitive edge in the industry.

Keywords

Artificial Intelligence, Retail Marketing, Data-Driven Decision-Making, Customer Behavior Analysis

References

1. Chintalapati S., Pandey S.K. (2021). Artificial intelligence in marketing: A systematic literature review. International Journal of Market Research, Volume(Issue).

2. Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021). Artificial Intelligence in Marketing: Systematic Review and future research direction. International Journal of Information Management Data Insights.

3. Heins C. (2023). Artificial intelligence in retail – a systematic literature review. Foresight, 25(2), 264-286.

4. Oosthuizem K., Botha E., Robertson J., Montecchi M., (2020). Artificial Intelligence in Retail: The AI-Enabled Value Chain, Sage Journals, Volume 29, Issue 3.

5. Haleem A., Jovaid M., Qadri M.A., Singh R.P. & Suman R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 116.

6. Kopalle P.K., Gangwar M., Kaplan A., Ramachandran D., Reinartz W., Rindfleisch A., (2021). Examining artificial intelligence (AI) technologies in marketing via a systematic literature review. International Journal of Research in Marketing, 232.

7. Anshari M., Almunawar M.N., Lim S.A., & Al-Mudimigh A. (2018). Technological disruptions in Services: Lessons from retail banking. Technological Forecasting and Social Change, 126, 271-283.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:

1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.

2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.

3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).

Volume Title
Proceedings of the 3rd International Conference on Business and Policy Studies
ISBN (Print)
978-1-83558-281-7
ISBN (Online)
978-1-83558-282-4
Published Date
18 January 2024
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/71/20241443
Copyright
18 January 2024
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated