The Impact of Artificial Intelligence on Logistics Support

Abstract

The paper investigates the impact of AI on the support for logistics in a practical case study for Aramex, a leading Jordanian logistic company. Applying AI-driven technologies of automation, predictive analytics, and route optimization significantly improved the operations of Aramex while reducing costs and enhancing customer satisfaction. It points to the key performance indications: operational cost reduction by 25%, increase in shipping volume by 30%, and a cut in carbon emission by 29.17%. On the other hand, some of the challenges observed included high initial investment costs and also skill gaps regarding how to manage the AI system. The paper demonstrated the ways AI can enable logistics to be scalable, flexible, and sustainable; usage needs to overcome both financial and technical barriers.