- Poland introduced the System Teleinformatyczny Izby Rozliczeniowej (STIR) in 2017 to combat VAT fraud and enhance tax compliance.
- STIR utilizes advanced machine learning and AI algorithms to analyze taxpayer activities and detect suspicious transactions and non-compliance.
- The implementation of STIR has significantly reduced Poland’s VAT gap from €6.6 billion in 2017 to €1.7 billion in 2021, showcasing its effectiveness in mitigating fraud.
- STIR facilitates data exchange between government entities, enabling holistic analysis of financial transactions and improving detection capabilities.
- While successful, STIR’s reliance on proprietary algorithms has raised concerns about potential negative impacts on legitimate businesses, such as bank account freezes.
- The integration of AI and machine learning in tax compliance holds promise for enhancing revenue collection and combating fraud globally.
Source VATit
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