Cash Flow Anomaly Detection: AI Models for Identifying Undeclared Income in SME Tax Returns

Key Points

• This research focuses on developing AI models to detect cash flow anomalies that indicate undeclared income among SMEs.
• Applied AI models to analyze SME tax returns for income declaration inconsistencies
• Utilized machine learning algorithms for anomaly detection
• Conducted assessments to evaluate the effectiveness of the models
• Achieved a detection rate of 85% for undeclared income with the AI models
• Identification of cash flow discrepancies significantly improved compliance efforts among SMEs
• Observed a reduction in tax evasion rates attributable to the implemented models