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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

The convergence of edge computing and supply chain resilience in retail marketing

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  • The convergence of edge computing and supply chain resilience in retail marketing

Uchechukwu Christopher Anozie 1, *, Samuel Ajibola DADA 2, Faith Chidinma Okonkwo 2, Olanrewaju Oluremi Egunlae 3, Blessing Oluwadamisi Animasahun 1 and Onozefe Mazino 4

1 College of Business, MBA, Auburn University Alabama, USA.
2 Business Administration, Whitman School of Management, Syracuse University. USA.
3 Supply Chain Management and Marketing, Whitman School of Management, Syracuse University. USA.
4 Kenan-Flagler School of Business, Master of Business administration, University of North Carolina, USA.

Review Article
 

International Journal of Science and Research Archive, 2024, 12(02), 2769–2779.
Article DOI: 10.30574/ijsra.2024.12.2.1574
DOI url: https://doi.org/10.30574/ijsra.2024.12.2.1574

Received on 15 July 2024; revised on 26 August 2024; accepted on 29 August 2024

In the fast-paced world of retail, having a strong and flexible supply chain is essential for success as businesses face increasing customer expectations and market uncertainties. Edge computing is emerging as a key technology that can enhance supply chain resilience by processing data in real-time, reducing delays, and improving responsiveness. This article explores how edge computing and supply chain resilience intersect within retail marketing and how they can optimize marketing strategies and customer experiences. Edge computing works by handling data close to where it is generated, which speeds up processing and reduces delays compared to traditional cloud systems. This real-time data processing is crucial for retailers who need to manage inventory, track shipments, and adjust to market changes quickly. With edge computing, retailers can get immediate insights into their supply chains, enabling faster and more accurate decision-making. The article reviews current research and case studies to illustrate the benefits of edge computing in retail. These benefits include better inventory management through real-time updates, more personalized and engaging marketing campaigns, and increased efficiency in logistics by automating processes. Edge computing also enhances the in-store experience with technologies like augmented reality, which can boost customer interaction and satisfaction. However, adopting edge computing also comes with challenges, such as high implementation costs, the complexity of integrating new systems, and concerns about data security. The article addresses these challenges and provides strategies for overcoming them, offering practical advice for effectively using edge computing. In summary, the article argues that edge computing will be a vital factor in retail’s future success and innovation. By making supply chains more agile, responsive, and efficient, edge computing helps retailers meet market demands and stay ahead of the competition. As technology continues to evolve, the role of edge computing in improving supply chain resilience and transforming retail marketing will become even more significant.

Edge computing; Supply chain Resilience; Real-time Data processing; Retail marketing; Inventory management

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2024-1574.pdf

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Uchechukwu Christopher Anozie, Samuel Ajibola DADA, Faith Chidinma Okonkwo, Olanrewaju Oluremi Egunlae, Blessing Oluwadamisi Animasahun and Onozefe Mazino. The convergence of edge computing and supply chain resilience in retail marketing. International Journal of Science and Research Archive, 2024, 12(02), 2769–2779. https://doi.org/10.30574/ijsra.2024.12.2.1574

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

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