Case Study

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

machine learning uncovers thousands in unnecessary shipping fees caused by typos

Why You Need This Case Study:

Learn how Intelligent Audit used machine learning to detect a costly typo and then implement new logic in their TMS to preemptively flag parcel shipments over 500 pounds to avoid thousands of dollars in unnecessary fees in the future. Fill out the form to get a copy.

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