Smart Logistics Services: How Artificial Intelligence Transforms Decision-Making

Abstract

The aims of this research are to explore the transformative role of artificial intelligence (AI) in logistics decision-making processes and to address the challenges faced by logistics managers, such as increasing supply chain complexity and the need for precise, real-time decision-making. The research analyses primary AI use-cases in logistics, including predictive analytics for demand and disruption predictions, optimization algorithms fil route and warehouse efficiency, as well as autonomous systems for operational automation. Together, these technologies enable greater precision in decision-making and operational agility and efficiency. Further, the study examines how AI is disrupting supply chain visibility and risk management proficiencies with instant data processing, better hazard control, as well as a refined risk mitigation process. AI has been realized into process and the outcome was noteworthy in comparison of manual work procedures and allows mangers make strategic decisions since it creates automation. The results reinforce how utilizing AI does not only enhance logistics but also helps to increase the transparency of and boost the resilience of competition in the whole supply chain. The findings of this study offer useful implications for logistics management to effectively implement AI in order to innovate regular logistical decision-making, and make the over-all supply chain more agile & efficient.