AI-Driven Logistics Service Design and Supply Chain Governance: User Psychological Experience and Mental Health Outcomes
Weiwei ZhangAbstract
Objective
Traditional logistics supply chain has problems such as delayed distribution and opaque logistics information, bringing long-term waiting anxiety and consumption psychological pressure to online shoppers, causing irritable mental states and affecting public daily mental health. Aiming at the mismatch between existing logistics services and user psychological demands, this paper explores AI-driven logistics service design and optimized supply chain management mechanism, to cut down user logistics psychological pressure, stabilize individual mental states and improve consumption mental health.
Subjects and Methods
This study adopts questionnaire survey, system simulation and comparative empirical analysis, taking online logistics service users as research subjects. It investigates users’ logistics anxiety pressure, real-time mental states and mental health satisfaction under traditional supply chain modes, and builds an intelligent supply chain management system combined with AI information push and dynamic scheduling technology.
Results
Unreasonable supply chain scheduling and information opacity significantly aggravate users’ logistics-related psychological pressure and lead to negative mental states. The optimized AI logistics service system realizes full-process information transparency and efficient distribution, effectively relieves user waiting pressure, repairs anxious mental states, and achieves obvious improvement in users’ consumption mental health.
Conclusions
User psychological experience is a core indicator of modern logistics supply chain optimization. AI intelligent logistics management can effectively relieve users’ logistics anxiety pressure, maintain stable and positive mental states, reduce sub-health psychological problems caused by poor service experience, protect users’ daily mental health, and provide references for humanized and intelligent upgrading of logistics supply chain.
Acknowledgement
General Project of Philosophy and Social Science Research in Colleges and Universities of Jiangsu Province (2023) "Research on the Construction and Practice of Ideological and Political Blended Teaching Model for the Course of Warehouse and Distribution Practice" (Grant No. 2023SJSZ1333); Supported by the 6th Phase of Zhenjiang "169 Talent Project" (Zhen Talent Document [2023] No. 6).
Corresponding Author
Weiwei Zhang, Jiangsu Aviation Technical College, Zhenjiang 212000, Jiangsu, China.