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Future of AI-Driven Logistics

In: Artificial Intelligence for Logistics 5.0

Author

Listed:
  • Bernardo Nicoletti

    (Temple University)

Abstract

This chapter comprehensively analyzes future logistics and AI transformation, focusing on Industry 6.0 and its key components. The discussion highlights the growing importance of virtualization technologies, digital twins, and the industrial metaverse in transforming logistics processes. It examines how these technologies enable real-time logistics monitoring, simulation, and optimization. The chapter discusses emerging trends among logistics service providers, from sixth-party logistics (6PL) to tenth-party logistics (10PL). It highlights the increasing integration of AI and advanced analytics into logistics management. A focus is placed on Q-Commerce (Quick Commerce), an e-commerce evolution emphasizing fast delivery via dark stores, and real-time inventory management [Pache, Q-commerce logistical networks: A shift in digital retail towards “going dark”? In EMNet 2023 (pp. 1–12) (2023)]. The chapter concludes with a discussion of the Physical Internet concept, which aims to revolutionize the transportation of goods by applying the principles of the digital Internet to physical logistics. The chapter emphasizes the importance of ethical considerations, particularly considering the European Union (EU) AI law and the need for sustainable practices for future logistics operations. This forward-looking analysis underlines the audience’s responsibility and commitment to environmental protection in the context of AI and advanced technologies in reshaping the logistics industry.

Suggested Citation

  • Bernardo Nicoletti, 2025. "Future of AI-Driven Logistics," Springer Books, in: Artificial Intelligence for Logistics 5.0, chapter 0, pages 267-299, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-94046-0_10
    DOI: 10.1007/978-3-031-94046-0_10
    as

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