Artificial Intelligence-Enhanced Risk Management System Architecture for Customs Inspection

The study seeks to boost customs inspection efficiency and ensure compliance with trade data. As traditional methods struggle with the surge in international trade data, this research taps into big data technology to detect anomalies and protect national finances. This study involves a literature review to classify risks and select suitable algorithms for analysis, leading to a conceptual AI-assisted inspection framework validated by expert scoring. This represents an innovative tech approach to customs inspection.