About

This comprehensive revenue leakage analytics platform uses ensemble machine learning (Isolation Forest + Z-Score) to detect pricing anomalies in retail transactions, serving results through real-time APIs and a full-featured web application dashboard. The workflow orchestrates synthetic transaction data generation, feature engineering, dual-model anomaly detection with business rule refinements, temporal validation, and professional visualizations to identify and quantify pricing errors ranging from accidental misspricing to unauthorized discounts.