The Emergence of Artificial Intelligence in Supply Chain Management
Disciplines
Industrial Engineering | Systems Engineering
Abstract (300 words maximum)
Supply chain management is the backbone of our economy, supporting nearly 500,000 jobs in Georgia alone—that’s 1 in 10 jobs in the state. Whether it’s overseeing the delivery of essential goods or maintaining the flow of materials across industries, supply chain professionals play a huge role in economic stability. As sustainability becomes a driving force in supply chain management, companies are constantly looking for ways to reduce their carbon footprint, minimize waste, and create more sustainable transportation solutions. With its vast highway network and one of the busiest ports and airports in the nation, Georgia serves as a critical hub for logistics and transportation, offering significant opportunities for innovation. At the same time, one of the biggest challenges in supply chain is risk management where unexpected disruptions such as natural disasters or geopolitical events can completely throw off global supply chains. The emergence of Artificial Intelligence (AI) presents an innovative opportunity to address these challenges. AI-driven analytics can enhance decision-making process by using historical and real-time data to predict demand, optimize logistics, and improve resource allocation. This allows businesses to prevent overstocking, reduce waste, and streamline operations while mitigating risks through predictive modeling and automated response strategies. This research paper explores the integration of AI in supply chain management with a focus on sustainability and risk mitigation. The findings highlight how AI adoption leads to increased efficiency, cost savings, and reduced environmental impact. As industries continue to evolve, AI-driven supply chains will not only enhance resilience but also pave the way for a more sustainable and adaptive global economy.
Academic department under which the project should be listed
SPCEET - Industrial and Systems Engineering
Primary Investigator (PI) Name
Parisa Pooyan
The Emergence of Artificial Intelligence in Supply Chain Management
Supply chain management is the backbone of our economy, supporting nearly 500,000 jobs in Georgia alone—that’s 1 in 10 jobs in the state. Whether it’s overseeing the delivery of essential goods or maintaining the flow of materials across industries, supply chain professionals play a huge role in economic stability. As sustainability becomes a driving force in supply chain management, companies are constantly looking for ways to reduce their carbon footprint, minimize waste, and create more sustainable transportation solutions. With its vast highway network and one of the busiest ports and airports in the nation, Georgia serves as a critical hub for logistics and transportation, offering significant opportunities for innovation. At the same time, one of the biggest challenges in supply chain is risk management where unexpected disruptions such as natural disasters or geopolitical events can completely throw off global supply chains. The emergence of Artificial Intelligence (AI) presents an innovative opportunity to address these challenges. AI-driven analytics can enhance decision-making process by using historical and real-time data to predict demand, optimize logistics, and improve resource allocation. This allows businesses to prevent overstocking, reduce waste, and streamline operations while mitigating risks through predictive modeling and automated response strategies. This research paper explores the integration of AI in supply chain management with a focus on sustainability and risk mitigation. The findings highlight how AI adoption leads to increased efficiency, cost savings, and reduced environmental impact. As industries continue to evolve, AI-driven supply chains will not only enhance resilience but also pave the way for a more sustainable and adaptive global economy.