AI Empowerment in University Logistics Management: The Collaborative Path of Technological Innovation and Service Upgrades
DOI: https://doi.org/10.62381/P253707
Author(s)
Zhao Zhongyue
Affiliation(s)
Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China
Abstract
With the deep integration of artificial intelligence (AI) technologies, university logistics management is undergoing a paradigm shift from traditional experience-driven to data-intelligent-driven models. Based on practical cases of AI applications in university logistics, this paper systematically analyzes the operational logic of AI in core scenarios such as facility operation and maintenance, energy management, safety monitoring, and service optimization. It reveals the intrinsic mechanisms through which AI technologies drive efficiency improvements, cost structure optimization, and service quality upgrades in logistics management via data integration, predictive analytics, and automated decision-making. the study finds that the key to AI empowerment in university logistics lies in constructing a closed-loop system of "perception-analysis-decision-feedback, " while addressing challenges such as data silos, technological adaptability, and organizational transformation. Future developments will see university logistics management evolving toward full-scenario intelligence, personalized services, and ecological sustainability through deeper integration of AI with technologies like IoT and digital twins.
Keywords
Artificial Intelligence; University Logistics Management; Smart Campus; Data-Driven; Service Upgrade
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