The Impact of Artificial Intelligence in Logistics and Supply Chain in the USA – Focusing on Leading Industries in the 21st Century
Benjamin Kwame Amponsah, Paul Boadu Asamoah, Manso Frimpong
- 发表年份
- 2024
- 引用次数
- 4
摘要
Artificial Intelligence plays a crucial role in global supply chain management and logistics. It builds opportunities for cost reduction in purchase requirement planning, demand forecasting, sales/marketing, transportation, packaging, warehousing, inventory, production planning, finance, customer services, and information services. It also offers a competitive edge to the firms utilizing it. Artificial intelligence will likely make insightful decisions and improve efficiency via exceptional capabilities. This research aims to highlight the contributions of AI to supply chain management and logistics by using a thorough literature review and systematic review of the current literature from the internet. This will focus on AI applications within top American industries, such as e-commerce, retail, pharmaceuticals, and automotive, by leveraging artificial intelligence tools such as machine learning, route optimization, predictive analytics, and robotics. This paper evaluates the benefits and challenges associated with artificial intelligence adoption, providing an extensive overview of how AI tools are rebuilding SCM performance while also spotlighting the challenges linked to implementation and data security. By supplementing the literature review with case studies and data analysis, this research highlights the pivotal role of AI in shaping the future of logistics and supply chain management in the 21st Century. This research shows that although AI provides significant opportunities for innovation and growth, it presents damaging challenges; hence, strategic planning and investment are needed to overcome these intertwined challenges. This study also offers insight and recommendations for industry stakeholders and policymakers aiming to leverage the full potential of AI in logistics and supply chain management operations.
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