REVOLUTIONIZING LOGISTICS WITH AI: OPPORTUNITIES, CHALLENGES, AND FUTURE DIRECTION SECTOR: LOGISTICS

Authors

  • Raj Varma Student, Amity Business School, Amity University Mumbai, Maharashtra, India.
  • Dr. Deepa Damodaran Associate Professor, Amity Business School, Amity University Mumbai, Maharashtra, India.
  • Dr. Bhawna Sharma Padroo Director-International Affairs & Programs, Officiating HOI Amity Business School, Amity University Mumbai, Maharashtra, India.

DOI:

https://doi.org/10.29121/shodhai.v2.i1.2025.57

Keywords:

Artificial Intelligence, Logistics, Shipment Tracking, Clearance Automation, Document Management, Predictive Analytics, Efficiency

Abstract

This research explores how Artificial Intelligence (AI) is transforming logistics operations by improving vessel tracking, automating clearance procedures, and simplifying documentation. During my internship at a logistics company, I observed major challenges such as inaccurate shipment time prediction, manual paperwork errors, and clearance delays. The study aims to identify how AI-based systems—like predictive analytics, image recognition, and machine learning—can optimize these processes. Findings suggest that the integration of AI significantly improves shipment visibility, reduces errors, and increases operational efficiency, leading to faster delivery and customer satisfaction.

References

McKinsey and Company. (2023). Artificial intelligence in supply chain management. McKinsey & Company.

KPMG India. (2022). AI in logistics: Transforming freight operations. KPMG India.

Rahman, M., and Azhar, F. (2021). AI-driven process optimization in shipping industry. International Journal of Business and Society, 22(3), 1345–1360.

Deloitte Insights. (2024). Predictive analytics in global trade and logistics. Deloitte Insights.

World Economic Forum. (2023). AI and the future of logistics operations. World Economic Forum.

Heskett, J. L., Sasser, W. E., and Schlesinger, L. A. (1994). Putting the service-profit chain to work. Harvard Business Review, 72(2), 164–174.

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Published

2025-06-30