Enhancing retail supply chain resilience with generative AI
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
Publication history:
Received on 29 April 2023; revised on 10 June 2023; accepted on 13 June 2023
Abstract:
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.
Keywords:
Generative AI; Supply Chain; Retail Resilience; Data Integration; Disruption Forecasting; Contingency Planning
Full text article in PDF:
Copyright information:
Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0