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Advancing Logistics and Supply Chain Efficiency Through Artificial Intelligence and Machine Learning

Author

Listed:
  • Dr. Niraj Chaudhari

    (Dr. Moonje Institute of Management and Computer studies, Nashik, MS, India)

  • Mr. Vikram Kalekar

    (Dr. Moonje Institute of Management and Computer studies, Nashik, MS, India)

  • Mr. Nikhil Rane

    (Dr. Moonje Institute of Management and Computer studies, Nashik, MS, India)

  • Mr. Prathamesh More

    (Dr. Moonje Institute of Management and Computer studies, Nashik, MS, India)

Abstract

The logistics and supply chain ecosystem encompasses a network of interconnected entities that must work collaboratively to enhance operational efficiency and reduce overall costs. This study explores the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in modern supply chain and logistics management. It examines the integration of advanced ML techniques across various supply chain functions such as demand and supply forecasting, pricing strategy formulation, and text analytics. By leveraging these technologies, organizations can streamline processes, mitigate risks, reduce operational costs, and enhance profitability. The research further emphasizes the practical implications of adopting AI and ML, presenting real-world applications that demonstrate their potential in driving data-driven decision-making and achieving competitive advantage in the logistics domain.

Suggested Citation

  • Dr. Niraj Chaudhari & Mr. Vikram Kalekar & Mr. Nikhil Rane & Mr. Prathamesh More, 2025. "Advancing Logistics and Supply Chain Efficiency Through Artificial Intelligence and Machine Learning," International Journal of Latest Technology in Engineering, Management & Applied Science, International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), vol. 14(7), pages 607-610, July.
    • Handle: RePEc:bjb:journl:v:14:y:2025:i:7:p:607-610
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