AI enhances customs risk detection
The General Directorate of Customs is moving towards utilizing artificial intelligence and machine learning techniques to analyze data efficiently and target high-risk permits and cases. The goal is to improve the monitoring of violations and achieve additional recoverable amounts of approximately 96.9 million dinars, with a detection rate of about 49.23%, based on 2025 data. Machine learning models, such as decision trees, are used to interpret the reasons behind classifying permits as high risk, with these models being updated periodically to enhance effectiveness. Additionally, other programs aim to strengthen revenue monitoring capabilities and target high-risk cases, emphasizing the need to develop staff skills in data analysis. These efforts are part of broader initiatives to improve service quality, combat tax evasion, and prevent financial violations.
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