TBML is one of the most complex and underdetected financial crime typologies in Nigeria. This guide explains how TBML works through Nigerian trade finance channels and how banks can identify the warning signs.
TBML involves disguising the proceeds of crime through international trade transactions, manipulating the trade system by altering invoices, misrepresenting goods, or fabricating shipments to move value across borders in ways that appear legitimate.
The Three Core TBML Mechanisms
Over/Under-Invoicing
Manipulating the stated price of goods to transfer value between importer and exporter.
Over/Under-Shipment
Shipping more or less than what is declared on customs documents.
Phantom Shipments
Raising trade finance documents for goods that are never actually shipped.
Apapa & Tin Can Island Ports
Nigeria's largest ports process billions in imports annually. Customs valuation weaknesses make them a primary TBML channel.
Oil sector opacity
Crude oil theft (bunkering) generates significant illicit proceeds laundered through oil trading company invoices.
High import dependency
Nigeria's import-driven economy, vehicles, electronics, consumer goods, provides cover for TBML activities.
Agricultural export channels
Cocoa, sesame, cashew exports are used to over-invoice payments from foreign buyers, integrating illicit funds as export proceeds.
| Method | How It Works | Common Sectors |
|---|---|---|
| Over-invoicing (imports) | Importer pays above market price; excess is a value transfer to the exporter | Electronics, vehicles, machinery |
| Under-invoicing (exports) | Exporter receives less than market value; difference retained offshore | Cocoa, sesame, oil products |
| Multiple invoicing | Same shipment invoiced multiple times to justify multiple payments | Commodities, consumer goods |
| Phantom shipments | Letters of credit raised for goods never shipped | General imports, oil trading |
| Commodity description fraud | Goods misdescribed on customs documents | Retail goods, electronics |
Market price benchmarking
Compare invoice prices against known commodity market prices. Flag significant deviations automatically.
Trade document analysis
Apply AI document review to Letters of Credit, bills of lading, and commercial invoices to identify inconsistencies or duplicate references.
Counterparty screening
Screen all trade counterparties against sanctions lists, PEP databases, and adverse media. Apply enhanced scrutiny to high-risk jurisdictions.
Entity relationship mapping
Use network analysis to identify common beneficial owners or shared addresses across multiple trade relationships.
Transaction pattern monitoring
Monitor for multiple payments to the same beneficiary, round-number trade payments, or payments inconsistent with declared trade volumes.
AI Shield Nexus applies commodity price benchmarking, document analysis, and counterparty network mapping to identify TBML indicators in trade finance transactions.
What is trade-based money laundering (TBML)?
TBML is the process of disguising the proceeds of crime through international trade transactions, manipulating invoices, shipment quantities, or commodity descriptions to move illicit value across borders.
Why is Nigeria particularly vulnerable to TBML?
Nigeria's large import-dependent economy, high trade volumes through Apapa and Tin Can ports, and significant informal trade sector create multiple TBML opportunities.
How do Nigerian banks detect TBML?
Through commodity price benchmarking, trade document analysis, counterparty screening, entity relationship mapping, and transaction pattern monitoring, ideally automated with AI-driven systems.