Customs Revenue Leakage and Trade Fraud Analytics
About this course

Overview

Mis-invoiced trade is how a great deal of money leaves a country, and most of the evidence is already sitting in customs declarations. You learn to read that data for the anomalies that signal under-invoicing, transfer manipulation and phantom shipments, then turn a pattern into a case worth opening.

What you will be able to do

Learning outcomes

  • Identify trade mis-invoicing in transaction data
  • Screen consignments against risk indicators
  • Quantify revenue leakage from a fraud scheme
  • Build an analytics-driven case file
  • Refer cases with supporting evidence
What the course sets out to do

Course objectives

  • Recognise the main trade-based fraud typologies
  • Detect mis-invoicing and mis-declaration patterns
  • Build analytics to flag high-risk transactions
  • Trace value and revenue leakage across trade flows
  • Assemble evidence for investigation and referral
Course content

Modules

01

Trade-Based Laundering Typologies

Over- and under-invoicing, carousel, and value-transfer schemes.

02

Trade Data and Red Flags

Identifies the data fields and anomalies that expose mis-declaration.

03

Valuation and Mis-Invoicing

Tests declared values against price benchmarks and mirror trade data.

04

Fraud Analytics Techniques

Applies rules, outlier detection, and network analysis to trade records.

05

Revenue Leakage Detection

Quantifies duty and tax loss from identified fraud patterns.

06

Building the Case

Documents findings into an evidence-based investigation file.

Who it is for

Target audience

Customs investigators, revenue protection officers, and data analysts in customs and tax administrations.

Before you start

Prerequisites

Customs, audit or investigation experience. You should be able to read a customs declaration; the data analysis is taught from the ground up.

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