Outlier Detection for Pricing Anomalies
pricing
anomaly
fraud
Industry
Retail
For Whom
Pricing Managers, Revenue Integrity Teams, E-Commerce Managers
Why You Need This
Pricing errors hurt both profit and trust. Rapidly find and fix them before customers notice.
How It Works
Statistical and ML algorithms flag products with suspicious price deviations or patterns.
Data Type
Tabular
What You Need
Product, price, and transaction data from all channels.
What You Get
- Anomaly alerts with root cause explanations
- Segment definitions: High-severity (critical errors), Moderate, Low
- Correction recommendations
How To Use It
Fix errors in ERP/e-commerce systems, trigger root cause reviews for recurring issues.
Technique
Anomaly Detection
Business Impact
Protect profit, reduce losses, and improve customer trust (track error count and revenue impact).
How We Deliver This
Alerting dashboard, integration to price management systems, monthly anomaly reports.
Can Be Extended To
Fraud detection, competitor price tracking, price testing.