Home
World Journal of Advanced Engineering Technology and Sciences
International, Peer reviewed, Referred, Open access | ISSN Approved Journal

Main navigation

  • Home
    • Journal Information
    • Abstracting and Indexing
    • Editorial Board Members
    • Reviewer Panel
    • Journal Policies
    • WJAETS CrossMark Policy
    • Publication Ethics
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Become a Reviewer panel member
    • Join as Editorial Board Member
  • Contact us
  • Downloads

ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 2 (February 2026).... Submit articles

Enhancing retail supply chain resilience with generative AI

Breadcrumb

  • Home
  • Enhancing retail supply chain resilience with generative AI

Sai Kiran Reddy Malikireddy *

Independent Researcher, USA.

Research Article
 
World Journal of Advanced Engineering Technology and Sciences, 2023, 09(01), 399-409.
Article DOI: 10.30574/wjaets.2023.9.1.0172
DOI url: https://doi.org/10.30574/wjaets.2023.9.1.0172

Received on 29 April 2023; revised on 10 June 2023; accepted on 13 June 2023

The globalization of the retail industry exposes its supply chain to risks that affect operation, increase cost, and reduce customer satisfaction. This research focuses on exploring how generative AI can be implemented to improve the supply chain supply chain agility in the retail context. In this case, Generative AI will be functional in creating different supply chain schedules and analyzing these scenarios to predict disruptions and create responses appropriately. The supplier, logistics, and demand forecasting systems provide real-time information to formulate risk management strategies effectively. A detailed case within the retail industry for example shows that supply chain effectiveness increases of up to forty percent during disruption. The evidence points to Generative AI’s central function in the creation of durable supply chains that can effectively and continuously provide service and maximize retailers’ competitiveness.

Generative AI; Supply Chain; Retail Resilience; Data Integration; Disruption Forecasting; Contingency Planning

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2023-0172.pdf

Get Your e Certificate of Publication using below link

Download Certificate

Preview Article PDF

Sai Kiran Reddy Malikireddy. Enhancing retail supply chain resilience with generative AI. World Journal of Advanced Engineering Technology and Sciences, 2023, 09(01), 399-409. Article DOI: https://doi.org/10.30574/wjaets.2023.9.1.0172

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content


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.


Copyright © 2026 World Journal of Advanced Engineering Technology and Sciences

Developed & Designed by VS Infosolution