Digital transformation of logistics processes in enhancing the efficiency and transparency of supply chains

Serhii, Rybtsov (2025) Digital transformation of logistics processes in enhancing the efficiency and transparency of supply chains. International Journal of Science and Research Archive, 15 (1). pp. 1689-1695. ISSN 2582-8185

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Abstract

The article examines the characteristics of digital transformation in logistics processes through the lens of improving efficiency and transparency in supply chain operations. The logistics sector today faces the urgent need to respond swiftly to market fluctuations and minimize transaction costs. The discussed transformations and initiatives serve as a key mechanism for achieving strategic objectives through the integration of advanced technologies, including artificial intelligence, blockchain, the Internet of Things, and big data analytics. However, ongoing academic debates highlight contradictions regarding the pace of adoption of these innovations, their economic feasibility, and risks associated with cybersecurity, technological compatibility, labor market transformation, and other challenges. This study aims to conduct a comprehensive analysis of the impact of digital technologies on the efficiency and transparency of logistics processes while identifying organizational and technical barriers that hinder their practical implementation. The key concepts and potential future directions are examined, concluding that digitalization not only optimizes supply chain management processes but also fosters fundamentally new models of interaction among supply chain participants. Existing approaches to digital transformation in logistics are systematized. The findings are valuable for digital development specialists in logistics and enterprise executives seeking to enhance operational efficiency through the implementation of innovative solutions.

Item Type: Article
Official URL: https://doi.org/10.30574/ijsra.2025.15.1.1256
Uncontrolled Keywords: Automation; Blockchain; Big data; Internet of Things; Artificial intelligence; Cybersecurity; Forecasting; supply chain; Digital logistics
Depositing User: Editor IJSRA
Date Deposited: 22 Jul 2025 23:20
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/1688