Abstract
AI is rapidly revolutionizing supply chain logistics, allowing for predictive analytics, autonomous decision-making, and enhanced operational efficiency. This study investigates the application of AI to several important logistical areas, such as risk management, warehouse automation, demand forecasting, and route optimization. This paper illustrates the possibilities and difficulties of artificial intelligence (AI) in contemporary supply chains using real-world examples and industrial practices. Strategic suggestions for the effective integration of AI in logistics operations are included in the paper's conclusion.
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References
5 references- Ivanov, D., & Dolgui, A. (2020). Viability of intertwined supply networks: Extending the supply chain resilience angles towards survivability. International Journal of Production Research, 58(10), 2904-2915.
- McKinsey & Company. (2022). The Future of AI in Supply Chains.
- World Economic Forum. (2021). The AI-enabled Supply Chain: Mapping the Adoption Landscape.
- UPS. (2023). How ORION Improves Route Efficiency. [Corporate Report]
- Resilinc. (2023). AI-Driven Supply Chain Risk Management. [White Paper]
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