AI's Promethean Hand in Supply Chain Resilience: A Framework for Global Commercial Success (KEY IJP************527)

• Subharun Pal

Abstract

In the ever-evolving tapestry of global trade, supply chains, the lifeblood of commerce, are persistently besieged by a maelstrom of uncertainties. Supply chain resilience, defined as the capacity to anticipate, respond, and adapt to these uncertainties, thus emerges as a sine qua non for businesses to thrive amidst global tumult. The advent of Artificial Intelligence (AI) offers a promising avenue to bolster this resilience, owing to its unparalleled capabilities in data analysis, pattern recognition, and predictive modelling. The purpose of this scholarly exposition is to proffer a comprehensive AI-driven supply chain resilience framework, underpinned by three pillars: predictive analytics, autonomous operations, and advanced decision support. Through an exploratory lens, this paper elucidates the potential of AI in enhancing supply chain resilience, drawing upon real-world examples and employing a qualitative research methodology comprising a systematic literature review and case study analysis. The proposed framework serves as a blueprint for businesses to navigate the treacherous seas of global uncertainties, providing them with a strategic advantage in the cut-throat arena of global commerce.