NAFEZA — Egypt's AI-Powered National Single Window for Trade Facilitation and Customs Risk Management
Egypt
Egypt's NAFEZA integrates 32 agencies in a national customs single window. Webb Fontaine's AI/ML risk engine (deployed Aug 2022) achieved …
Nigeria · Lagos · See the Nigeria profile
B’Odogwu (Nigeria’s Unified Customs Management System) applies AI risk-profiling and ML pattern detection across 34 commands. Between Oct 2024 and May 2025 it collected ₦230 billion in revenue, cut clearance to 2 hours for compliant shipments, and reached 90%+ port-user adoption.
B'Odogwu (meaning 'powerful' in Igbo) is Nigeria's Unified Customs Management System, replacing the older NICIS II platform, developed in partnership with technology firm cb-xp under a 20-year public-private partnership concession.
Launched in October 2024 at Apapa Port and rolled out across all 34 commands by November 2024, the system applies AI risk-profiling and machine-learning pattern detection to identify high-risk cargo, automate valuation checks, detect weight inconsistencies, and cross-reference data with partner agencies including the Central Bank of Nigeria, FIRS, SON, and NAFDAC.
Between October 2024 and May 2025, the platform generated ₦230 billion in customs revenue; H1 2025 collections reached ₦204.7 billion, a 34.1% year-on-year increase. Clearance time for compliant shipments fell to 2 hours, meeting World Customs Organisation Time Release Study standards. Over 1,800 officers were trained in AI and data analytics, and by Q1 2025 transaction volume reached 327,928 declarations. ECOWAS recognised B'Odogwu as a regional innovation model in May 2025.
Challenges during rollout included technical glitches in partner-agency integrations, payment-processing delays, and initial pushback from clearing agents. The Comptroller-General acknowledged transitional difficulties and established consultation mechanisms with the Nigerian Shippers' Council.
Implementation detail (cost, timeline, staffing, conditions for success) is not yet available for this practice.
Where this practice's information was retrieved from, and when.
Egypt
Egypt's NAFEZA integrates 32 agencies in a national customs single window. Webb Fontaine's AI/ML risk engine (deployed Aug 2022) achieved …
Paraguay
Paraguay's DNA deployed ML-based customs risk-scoring, raising fraud-detection from 18% to 73% while cutting inspections by 70%. A UC Berkeley/IGC …
South Africa
South Africa's SARS uses ML models across 1.2 billion annual records to select audits and detect refund fraud. In FY2024/25 …
Serbia
Since 2018 Serbia's Tax Administration has run an AI/big data compliance risk management system with University of Novi Sad; salary-tax …
Open full copilot Grounded in cited practices — always check the sources.