Tunisia has integrated artificial intelligence into its national customs screening and risk management system as part of a broader effort to modernize border controls and strengthen fraud detection capabilities. The initiative was approved by the Central Committee for Judicial Risk Action under the Tunisian Customs Authority during a meeting at the General Administration of Customs headquarters. Officials stated that the AI-powered unit will become part of the country’s National Judicial Selective System, helping customs authorities identify suspicious shipments more efficiently while improving the overall management of trade flows.
The new system uses machine learning algorithms to analyze large volumes of customs data and automatically detect high-risk transactions. According to reports, the platform evaluates multiple variables such as the nature of imported goods, their origin, declared value, import history, and the profiles of economic operators. By automating this analysis, Tunisian Customs hopes to improve targeting accuracy, reduce reliance on manual inspections, and accelerate the clearance of compliant shipments. Authorities believe the system will strengthen the fight against customs fraud while also making legitimate trade more efficient.
The Tunisia’s broader digital transformation strategy in customs administration. Alongside the AI integration, the government is developing “Sinda 2,” a next-generation customs platform designed to digitally connect government agencies involved in customs operations. Tunisia has also expanded partnerships with international organizations and countries such as South Korea to support customs digitalization, transparency, and border modernization efforts. These initiatives are intended to improve administrative efficiency and strengthen Tunisia’s logistics competitiveness in regional and international trade.
The reform comes at a time when Tunisian authorities are facing increasing economic and security challenges related to smuggling and customs violations. Reports indicate that customs authorities registered nearly 4,000 customs-related cases during the first quarter of 2026, with seized goods valued at more than 51 million Tunisian dinars. Officials believe that AI-driven analytics can help detect suspicious behavior patterns more effectively and direct limited enforcement resources toward the highest-risk cases. The initiative reflects a wider global trend in which governments are increasingly adopting artificial intelligence to improve border security, risk management, and public sector efficiency.
