Builds a trinity management architecture of "material archive – category system – flow approval," supporting multi-level material classification and custom attribute configuration, structured storage and second-level retrieval of million-level material information, greatly improving retrieval efficiency and meeting the special management requirements of military materials. Supports complex approval scenarios such as multi-level countersigning and conditional branching; business personnel can approve requisition, maintenance, and scrapping work orders through the system. Supports operation traceability at key nodes to meet military industry audit requirements.

Combines RFID batch scanning with manual review dual-verification, supporting outbound confirmation, return/inbound registration, and maintenance registration. Integrates maintenance cycle early warning, automatically triggering equipment maintenance reminders and associating inventory status updates. Adopts UHF RFID + intelligent inspection vehicle technology to realize automatic warehouse scanning inventory, synchronizing inventory progress and status online, supporting dynamic inventory visualization dashboards and differential data intelligent analysis.

Builds a 3D warehouse model based on digital twin technology, realizing intelligent matching of surveillance video with the 3D scene, accessing IoT monitoring devices, and supporting suspicious moving target tracking rendering and heatmap analysis display.

Through digital material filing, visual material review is realized; material parameter details can be viewed online and scheduling tasks quickly created. Supports viewing scheduling task progress, real-time tracking of material location via IoT devices, and automatic identification of transport anomalies combined with sensor data and rule engines.

Combines GIS and spatial databases to custom-plan material transport routes, including start points and waypoints, actively avoiding blockade and dangerous areas, supporting priority by road or rail transport. Combined with real-time warehouse inventory data, the nearest warehouse is automatically allocated based on the set transport route, and manual warehouse allocation is supported.

Builds an AI large-model-enabled combat material integration platform, integrating DeepSeek and QWen APIs, combined with NLU and NLG technologies, supporting text and voice multimodal input, business-data-based Q&A dialogue, and user-created and managed knowledge bases, enabling rapid query and statistics of real-time business operation data and business planning and prediction combined with large models.