Abstract: In the traditional management mode, precious metal transportation faces challenges such as the lack of real-time monitoring, experience-dependent transportation route planning, low efficiency, and high error rates of manual records. To this end, an intelligent transportation management system for precious metals based on the Internet of Things, big data, cloud computing, and artificial intelligence （AI） was constructed by employing a gold mine in Shaanxi Province as the application scene. Through multi-source sensing and intelligent fusion, this system established an end-to-end real-time sensing and coordination framework. By integrating on-board positioning, video surveillance, encrypted communications, and immutable audit logs, visualization and traceability throughout the entire transportation process were realized. With the help of big data platforms and AI algorithms, this system performed intelligent route optimization, dynamic scheduling, and automatic recognition of exception events, thereby reducing reliance on human experience and improving emergency response speed and the scientific basis of scheduling. At the management level, the introduction of electronic signatures, role-based access control, and workflow tracking mechanisms drove the transformation of transport operations from labor-intensive practices to digital and refined management, thus strengthening procedural compliance and accountability. System development was strictly aligned with national regulatory requirements and best industry practices, and on-site deployment and emergency drills were conducted in collaboration with local regulatory authorities and operating units. Field application and quantitative evaluation show that this system shows a 20 %−35 % increase in transportation efficiency, a 90 %−95 % reduction in the safety accident rate, a significant enhancement in management accuracy, and a 65 %−75 % decrease in overall operation costs. This study confirms that the system is feasible for precious metal transportation and has significant benefits. Additionally, a reproducible engineering implementation pathway is proposed, and an important reference is provided for security assurance, efficiency enhancement, and compliance management for high-value cargo transportation.