Ghana’s Customs Division is recording a significant rise in revenue following the introduction of an artificial intelligence (AI) system designed to improve import valuation and reduce fraud.
Early results from the rollout show that the technology is already generating millions of cedis in additional revenue each day, with projections indicating even higher returns once the system is fully implemented nationwide.
The AI-powered platform analyses import data in real time, helping customs officials detect undervaluation, misclassification, and other irregularities that previously led to revenue losses. By cross-checking declarations against global trade benchmarks, the system ensures that importers pay the correct duties.
Officials say the initiative is part of a broader effort by the Ghana Revenue Authority to modernise customs operations, improve transparency, and plug long-standing leakages in the system.
The system was first introduced at the Tema Port and is expected to expand to other entry points across the country. Authorities estimate that full deployment could increase customs revenue by 40% to 45%, while also speeding up cargo clearance and reducing human interference.
To improve accuracy, customs officers are now allowed to correct product classification codes—known as HS codes—when importers make errors, subject to the importer’s approval. This adjustment is expected to further streamline the clearance process.
Importantly, the government has indicated that the use of the AI system will not impose additional costs on importers, as it seeks to enhance compliance without increasing the cost of doing business.
The move follows years of revenue losses linked to under-declared imports and data manipulation, with authorities now turning to advanced technology to strengthen oversight and ensure the state collects what it is due.
With early success already evident, officials believe the AI system could mark a turning point in Ghana’s revenue mobilisation efforts—transforming customs operations into a faster, more transparent, and more efficient process.
