LEVERAGING SMART TECHNOLOGIES TO ENHANCE LOGISTICS EFFICIENCY

Authors

  • Blen Khan Forgu Vytautas Magnus University Agriculture Academy

Keywords:

Smart Technologies, Tracking, Route optimization, artificial intelligence, machine learning

Abstract

The integration of emerging technologies like blockchain, autonomous systems, artificial intelligence, machine learning, and the Internet of Things (IoT) is causing a significant upheaval in the logistics sector. Customer satisfaction, supply chain optimization, cost reduction, and operational efficiency have all significantly increased as a result of these developments. The use of these technologies to improve logistics operations—enabling real-time tracking, predictive analytics, route optimization, and increased transparency—is known as smart logistics, or logistics 4.0. This paper examines how various technologies affect the effectiveness of logistics, with a particular emphasis on the use of blockchain, IoT, AI, ML, and autonomous systems to enhance logistical procedures. The study discusses the difficulties of putting smart logistics into practice while highlighting its many benefits, including lower costs, quicker deliveries, and more dependable systems. These difficulties include regulatory barriers, expensive initial investment costs, data security issues, and technical constraints. The results indicate that, in spite of these obstacles, the logistics sector must continue to embrace smart technology in order to become a more customer-focused, sustainable, and efficient one. The present state of smart logistics is thoroughly examined in this study, along with the technologies' promise for the future and suggestions for removing obstacles to its effective application.

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Published

2025-07-04

Issue

Section

Innovations and solutions in business logistics