AI-Driven Digital Transformation and Sustainable Logistics: Innovations in Global Supply Chain Management

The global supply chain has progressed beyond conventional logistics, incorporating digital technology, sustainability, and automation. It involves interrelated processes that convert raw resources into finished goods. The rising complexity from cross-border legislation, currency volatility, and evolving market demands requires decision-making driven by AI, Big Data, and automation. This study does a Systematic Literature Review of 65 journal papers (2010–2024) to analyze developments in logistics via AI, digital innovation, and sustainability. In contrast to conventional models characterized by static decision-making, emerging frameworks integrate AI-driven optimization, blockchain transparency, and real-time data for predictive forecasting. Furthermore, autonomous freight transportation, encompassing self-driving trucks, drone-assisted last-mile delivery, and hyperloop cargo systems, is transforming global logistics. Findings underscore significant transformations in supply chain strategy, focusing on sustainable mobility, carbon footprint mitigation, and integrated digital logistics. This analysis delineates research deficiencies and proposes avenues for future investigation into autonomous logistics and AI-driven systems in freight management.