Morocco Customs Deploys AI to Strengthen Risk Analysis and Facilitate Trade

Morocco’s Customs Administration Adopts AI for Enhanced Risk Analysis

Morocco’s Customs and Indirect Tax Administration (ADII) is advancing its customs risk analysis by integrating artificial intelligence. This initiative is part of ADII’s strategic plan through 2028 and is developed in partnership with the World Customs Organization (WCO) and Switzerland’s State Secretariat for Economic Affairs (SECO).

The project focuses on improving the efficiency of customs controls and supporting legal trade by employing AI for targeting and predictive analysis. This approach leverages big data and machine learning to enhance decision-making processes within customs operations.

Collaboration and Technical Assessment

At the project’s launch, Director General Abdellatif Amrani highlighted the importance of digital transformation in strengthening risk management. A technical mission led by WCO-accredited international experts took place from May 19 to 23 at ADII headquarters. During this mission, experts evaluated existing automated systems to inform the next steps of the project.

ADII views this partnership as a strong endorsement of its commitment to building a more proactive and intelligent customs system. Key participants at the event included Swiss Ambassador Valentin Zellweger, senior WCO officials, and top ADII leadership.

Strategic Benefits for Executives and Management

• Improved Risk Targeting: AI enables more precise identification of high-risk shipments, reducing unnecessary inspections and streamlining clearance processes.
• Predictive Analysis: Machine learning models provide foresight into potential trade risks, allowing preemptive action.
• Enhanced Operational Efficiency: Automation of routine tasks frees up resources for strategic decision-making.
• Support for Legal Trade: By focusing controls on genuine risks, the system promotes smoother trade flows and compliance.

For executives shaping strategy in customs or trade compliance, this case exemplifies how AI integration can transform risk management frameworks while improving service levels.

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