From 08 to 12 June 2026, the World Customs Organization (WCO), under the BACUDA Project and with the support of CCF Korea, conducted a National Workshop on Data Analytics for Madagascar Customs in Antananarivo. The programme followed a structured two-module approach, combining mandatory pre-work through WCO e-learning courses with a five-day in-person workshop. These activities aimed to strengthen Madagascar Customs’ technical capacity in data analytics, artificial intelligence (AI), and evidence-based decision-making.

During the preparatory phase, participants completed WCO e-learning modules on the CliKC platform, focusing on the foundations of data analytics and data quality management. This ensured a common conceptual understanding prior to the practical sessions. The in-person workshop was organized around five thematic pillars. The workshop commenced with an introduction of the WCO’s BACUDA initiative, with an overview of Data Analytics in Customs, various AI models, and recent developments This was followed by a presentation by Madagascar Customs on its current analytics environment, providing an operational context for subsequent discussions.

Capacity-building sessions covered key concepts in AI and data analytics, including generative AI and real-world Customs applications. Practical examples from member administrations illustrated the use of data-driven approaches in risk scoring, anomaly detection, image analytics and trade facilitation. Hands-on technical sessions formed a core component of the workshop. Participants gained practical experience using the AI HS algorithm for prediction of HS classification and LITE DATE algorithm for fraud detection. This included loading declaration data, data cleaning and preprocessing, feature engineering, model development, evaluation and interpreting analytical outputs.

The institutional readiness component focused on the WCO AI/ML Readiness Self-Assessment Tool. Participants assessed Madagascar Customs’ preparedness across five dimensions: governance, data governance, technology infrastructure, organizational culture and leadership, and analytical capabilities. This exercise helped identify gaps and establish a baseline for future development. A complementary session, supported by a Korea Customs Service case study, highlighted the importance of robust data governance frameworks. Participants translated these recommendations into a time-bound AI implementation roadmap, structured across short-, medium-, and long-term priorities.

In his closing remarks, Mr. Randrianjafy Antoine, Director General of Madagascar Customs, expressed appreciation to the WCO and CCF Korea for their support and commended the practical relevance of the workshop. He emphasized the importance of implementing the outcomes in the coming months. WCO experts concluded by emphasizing the significance and need for sustained investment in data governance, gradual adoption of AI solutions, and foostering a data-driven culture within the organsisation. The workshop reaffirmed the WCO’s commitment to supporting Madagascar Customs in advancing its data analytics and AI capabilities.