
What Is Shipping Fraud?
Why It’s a Real Problem for Shippers
High Risk
Account numbers are easy to decipher from shipping labels and tracking numbers.Employee Misuse
Current and ex-employees utilizing company account numbers for their own personal activity.Operational drain
Time and personnel are diverted to dispute resolution, auditing, and reconciliation.

How PMAC’s Package Fraud Detection
System Identifies Shipping Fraud
Our Package Fraud Detection solution combines advanced analytics, real-time tracking,
and machine intelligence to catch fraudulent behavior before it costs you money.
Real-Time Shipment Monitoring
AI-Driven Anomaly Detection
Pattern Scoring & Alerts
Audit-Ready Dashboards
This multi-layered approach covers everything from duplicate orders to sophisticated invoice
manipulation schemes, ensuring end-to-end protection for your shipping accounts.

Key Benefits of PMAC’s Fraud Detection System
- Stronger Carrier RelationshipsTransparent analytics and accurate dispute resolution strengthen trust with logistics partners, making carrier interactions smoother and more collaborative.
- Reduced Financial LossesDetect and stop fraudulent claims before payments are made, and recover overcharges efficiently, protecting your profits.
- Peace of Mind
Automated oversight eliminates manual guesswork, allowing your team to focus on core logistics and operations.
- Data-Driven VisibilityActionable insights reveal spending trends, optimize shipping costs, and strengthen processes to prevent future fraud.
Technology / Process
Action & Feedback Loop
Confirmed fraud patterns continuously refine our AI models, improving detection accuracy over time and ensuring smarter, faster identification of suspicious activity.
Data Ingestion
We collect and consolidate shipment tracking data, invoices, carrier logs, and order metadata into a centralized platform for real-time analysis.
Investigation Toolkit
Built-in workflows enable your team to assess, validate, escalate, or dispute flagged cases efficiently, reducing manual effort and accelerating resolution.
Normalization & Enrichment
Rebate terms are digitized and structured into measurable rules, eliminating manual interpretation errors.
Alert Generation
High-risk shipments trigger real-time alerts with contextual details, enabling immediate investigation and corrective action.
Behavioral Modeling
AI algorithms establish expected delivery patterns and financial benchmarks, providing a baseline for detecting deviations and potential fraud.
Anomaly Scoring
Each shipment event, route, or charge is scored against predictive models and known fraud signatures, highlighting high-risk activity for immediate attention.
Process
Example Case Studies / Results
Case Study
Duplicate Shipment Detection
Client:
Large e-commerce retailer
Problem:
Frequent duplicate deliveries on high-volume SKUs
Result:
Our system flagged repeat patterns, recovering 12% of disputed charges and reducing repeat delivery claims by 40% within 3 months.
Case Study
Invoice Manipulation Prevention
Client:
National distributor
Problem:
Carrier invoices showed unexplained rate changes
Result:
AI-driven pattern scoring identified inconsistent billing across routes, recovering eight figures in unauthorized charges and improving future billing compliance.


