Thematic analysis on AI integration in scalable service-oriented supply chain handling

Abstract

As supply chains become increasingly complex and consumer-centric, the demand for intelligent, adaptable, and scalable technology has significantly increased. This paper examines the impact of artificial intelligence (AI) technologies such as predictive analytics, dynamic routing, automated sorting, and real-time tracking on material handling and logistics operations. The study identifies significant themes and trends in innovation across academic and industrial sectors through a comprehensive literature evaluation and bibliometric analysis. The main results show that using AI in service-based supply networks improves their ability to grow, work more efficiently, and make decisions quickly. Case studies from leading logistics platforms demonstrate how AI can enhance process responsiveness, reduce human labour, and optimise resource use. The research has tangible implications for supply chain managers and governments seeking to implement AI-driven solutions to optimise future logistics. The findings serve as a foundation for further research on enhancing the intelligence of supply networks. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.