Case Study: a global apparel retail customer catches 50x carrier overcharges with Intelligent Audit

Anomaly Detection Catches Carrier Costing 50X the Agreed-Upon Rates

The global apparel retail customer, a major clothing retailer, faced a significant and sudden spike in shipping costs caused by a carrier that charged a rate 50 times higher than the contracted agreements on a seldom-used lane. Intelligent Audit utilized its proprietary machine learning anomaly detection service to identify this irregular spending pattern and trace it back to its source.

Intelligent Audit's machine learning algorithms, an ensemble of auto-encoders and other deep learning frameworks, detected the anomaly in real-time and provided contextualized intelligence to the client. This allowed the logistics team to quickly identify and mitigate the issue, preventing further financial exposure and potentially saving tens of thousands of dollars by stopping the use of the overpriced carrier.