Conclusions on AI-Driven Logistics

Bernardo Nicoletti
Additional contact information
Bernardo Nicoletti: Temple University

Chapter Chapter 11 in Artificial Intelligence for Logistics 5.0, 2025, pp 301-310 from Springer

Abstract: Abstract This chapter looks at the development and impact of AI technologies on developments from 2022. The spread of AI has been characterized by increasing integration into business processes, with organizations moving from trial to active implementation. A key development has been the emergence of open-source AI solutions, which have made the solutions accessible to a broader user base. The discussion highlights a decisive shift toward smaller, more efficient language models as an alternative to resource-intensive larger models. This trend addresses concerns about energy consumption and accessibility while potentially democratizing AI development. The text emphasizes that a successful AI transformation requires a comprehensive approach incorporating organizational processes, human resources, and workplace culture changes. The chapter examines the critical role of workplace interaction in successfully implementing AI and emphasizes the importance of close relationships between managers and operators. It discusses integrating technologies like IoT, blockchain, and CC to drive digital transformation across all industries. The analysis concludes that organizations’ technological advancement and operator well-being, meaning that future success, depend on effectively managing technological innovation and human factors in the workplace. This synthesis reveals a complex interplay between technological capabilities, organizational adaptation, and human factors in the ongoing evolution of AI implementation.

Keywords: AI transformation; Generative AI; Large language models; Multimodal AI; Cybersecurity; Democratization (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-94046-0_11

Ordering information: This item can be ordered from
http://www.springer.com/9783031940460

DOI: 10.1007/978-3-031-94046-0_11

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().