The impact of agentic Artificial Intelligence on warehouse and delivery operations in modern logistics

The technological phenomenon of agentic artificial intelligence (AAI) in the groundbreaking aspect of contemporary logistics processes is re-establishing the environment of the management of warehouses and the delivery procedure. The article examines how AAI-AI systems can set their own goals, make decisions autonomously, and increase operational efficiency, real-time responsiveness, and workforce coordination in logistics. The study fills in a gaping hole in knowledge about how AAI relates to traditional automation in terms of functionality and value of the strategy. The study, based on the mixed-method approach including case studies of industry leaders combined with survey results of the logistics directors, explores how AAI distributes warehouse tasks most efficiently, enhances the accuracy of the last-mile delivery, and can adjust to the changes alongside the supply chain. Although the results are exploratory, the study expects successful organizations to utilize AAI to achieve favorable improvements in turnaround times, inventory accuracy, and delivery consistency. This has substantial implications for companies involved in logistics processes that desire improved performance, better cost reduction, and the development of more robust supply chains as the world moves toward the digitization of commerce.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.17207920
Primary Topic
Plant Diversity and Evolution
Type
article
Field-Weighted Citation Impact
0.00
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article

The impact of agentic Artificial Intelligence on warehouse and delivery operations in modern logistics

Zenodo (CERN European Organization for Nuclear Research)
Plant Diversity and Evolution
article

The impact of agentic Artificial Intelligence on warehouse and delivery operations in modern logistics

article en

Abstract

The technological phenomenon of agentic artificial intelligence (AAI) in the groundbreaking aspect of contemporary logistics processes is re-establishing the environment of the management of warehouses and the delivery procedure. The article examines how AAI-AI systems can set their own goals, make decisions autonomously, and increase operational efficiency, real-time responsiveness, and workforce coordination in logistics. The study fills in a gaping hole in knowledge about how AAI relates to traditional automation in terms of functionality and value of the strategy. The study, based on the mixed-method approach including case studies of industry leaders combined with survey results of the logistics directors, explores how AAI distributes warehouse tasks most efficiently, enhances the accuracy of the last-mile delivery, and can adjust to the changes alongside the supply chain. Although the results are exploratory, the study expects successful organizations to utilize AAI to achieve favorable improvements in turnaround times, inventory accuracy, and delivery consistency. This has substantial implications for companies involved in logistics processes that desire improved performance, better cost reduction, and the development of more robust supply chains as the world moves toward the digitization of commerce.

Zenodo (CERN European Organization for Nuclear Research)
Anadolu University (TR)
Industry, innovation and infrastructure
Openalex Percentile: Top 39%
Plant Diversity and Evolution
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The impact of agentic Artificial Intelligence on warehouse and delivery operations in modern logistics · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS