Innovative green logistics solutions and their economic impact

New perspectives and future directions

Abstract

The demand for sustainability is playing an increasingly prominent role in the transformation of global logistics systems. This study provides an empirical assessment of innovative green logistics solutions, focusing on autonomous transport vehicles, IoT-based systems, and artificial intelligence applications in logistics. Through a case study-based analysis, the research quantifies the economic and environmental impacts of these technologies while examining regulatory frameworks that support adoption. The results indicate that optimized transportation routes and AI-driven inventory management can reduce logistics costs by up to 20% and lower emissions by 15%. Additionally, regulatory support mechanisms—such as tax incentives and emissions trading schemes—are identified as key enablers of sustainability in logistics. This study contributes to the literature by integrating financial modeling with case study analysis, providing a practical framework for policymakers and industry stakeholders