Document Process Automation with Artificial Intelligence for Logistics Sector

Miglena Stoyanova ()
Additional contact information
Miglena Stoyanova: University of Economics - Varna, Varna, Bulgaria

Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, 2023, issue 1, 190-197

Abstract: The logistics sector serves as the backbone of global commerce, facilitating the movement of goods across vast networks. The efficient management of documents is key to operational success in this industry. Document process automation powered by artificial intelligence offers a transformative solution to the challenges inherent in document- intensive workflows. The current study clarifies the essential role of AI-driven document process automation in optimizing document-related processes in the logistics domain. Through a systematic analysis, it highlights the imperative need for document process automation integration, its operational benefits, and the underlying considerations for successful implementation.

Keywords: document processing; artificial intelligence; machine learning; logistics (search for similar items in EconPapers)
JEL-codes: C61 C88 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.su-varna.org/journal/IJUSV-ESS/2023.12.1/?article=190-197.pdf.html (application/pdf)

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:vrn:suvrna:y:2023:i:1:p:190-197

Access Statistics for this article

Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series is currently edited by Yanka Aleksandrova

More articles in Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series from Union of Scientists - Varna
Bibliographic data for series maintained by Sabka Pashova ( this e-mail address is bad, please contact ).