breaking

Intelligent Audit Wins Recognition for Freight Anomaly Detection System

Intelligent Audit has been recognized for DeepDetectAI, a machine learning system designed to identify shipping errors and fraud within transportation invoices. The system was developed by Chief Product Officer Brian Pollack to detect costly mistakes buried in high-volume freight and parcel billing data. DeepDetectAI establishes baselines of normal shipping activity for individual accounts, services, and geographic regions, then monitors new transactions for cost variations, unusual service usage, duplicate charges, and other deviations. The system includes an explainability layer that provides supporting data and context for each anomaly flagged, enabling logistics, finance, and operations teams to address exceptions proactively rather than reactively. A single enterprise account can generate thousands of weekly billing line items across multiple carriers and services. This volume creates substantial opportunities for undetected overcharges.