Transforming Supply Chain Management with Next-Generation Technology (AI, Drones and Robots)- A Bibliographic Review

Abstract

The global supply chain is undergoing a radical transformation driven by emerging technologies such as robots, drones, and artificial intelligence (AI). These (modern technologies) are redefining supply chain management by enhancing efficiency, reducing operational costs, and improving resilience against disruptions such as natural disasters, geopolitical tensions, and pandemics. The integration of robots in warehouse automation has streamlined logistics processes, while drones are revolutionizing last-mile delivery, particularly in remote and hard-to-reach locations. AI-driven predictive analytics have significantly optimized demand forecasting, inventory management, and decision-making processes, leading to a more responsive and agile supply chain ecosystem. This paper explores the profound impact of these next-generation technologies, analysing their contributions to supply chain optimization, logistics enhancement, and real-time monitoring as well examine the critical challenges associated with their implementation, including cybersecurity risks, regulatory constraints, data privacy concerns, and ethical considerations related to workforce displacement. The study highlights the growing need for businesses to adapt to these advancements and the importance of policy frameworks to ensure a sustainable and ethical transition. The findings suggest that the adoption of robots, drones, and AI is not just a competitive advantage but a necessity for organizations striving for long-term sustainability and market leadership. While challenges remain, strategic implementation and regulatory alignment can help organizations maximize the benefits of these technologies, creating a more resilient and efficient global supply chain. This paper concludes with recommendations for businesses, policymakers, and supply chain professionals on how to navigate this technological evolution successfully.