Abstract
Generative AI is being adopted constantly in SCM to change the world by solving issues, improving flexibility, and increasing robustness. While relying on the traditional models of supply chain management, time-consuming supply chain disruptions prove to be difficult to address as are resource constraints and unpredictability of market demands, and therefore, important weaknesses in economic and strategic supply are left unaddressed. Generative AI provides the solutions for transformation via the application of strategic forecasting and near real time analysis and the conjuring of potential future states. They help the business organisations to reduce risk, control stocks, improve transportation and production processes to encourage competitiveness and sustainable development. Additionally, generative AI accords with American strategic objectives by building upon economic resilience and maintaining the world’s competitiveness as more changes threaten to occur. These arguments form the basis of this paper, given its focus on the use of generative AI in supply chains, the advantages that accrue from this use, the difficulties as well, and ways forward in expanding the application of generative AI in supply chains to develop an effective framework for the future.