Case Study: a financial services provider avoids erroneous excess mileage fees with Intelligent Audit

Deep Learning Models Spot an Erroneous $3800 Excess Mileage Fee

A financial services provider was facing sudden and erroneous "Excess Mileage" fees applied to its same-day shipments. Historical data showed these charges were new and incorrect for these specific routes. The customer turned to Intelligent Audit and its machine learning capabilities to identify the source of the anomalous costs.

Intelligent Audit's deep learning models detected the new fee pattern, prompting their team to investigate. This rapid identification allowed the customer to secure a full refund from the carrier for the erroneous charges and, more significantly, prevented hundreds of thousands of dollars in future incorrect fees. The carrier confirmed the problem was an error in the customer's rate table.