Case Study: a global retail and ecommerce company avoids costly shipping fees with Intelligent Audit

Anomaly Detection Identifies a Missing Decimal Causing $1000s in Fees

A global retail and ecommerce company faced significant financial losses after a data entry error at one of its distribution centers. A typo, where a comma was used instead of a period, caused parcel weights to be entered as 500 pounds instead of 5.00 pounds. This mistake resulted in shipments being tendered to a costly regional LTL carrier instead of the standard USPS. Intelligent Audit's machine learning anomaly detection service was used to identify these unexpectedly high costs.

Intelligent Audit’s real-time anomaly detection quickly identified the shipments that were costing thousands of dollars more than expected. The solution brought the error to the attention of leadership, who were then able to resolve the immediate issue and implement new logic in their TMS to preemptively flag similar errors. This action by Intelligent Audit prevented thousands of dollars in unnecessary fees in the future.