Detect China sourcing riskbefore you wire the deposit.
SourcingShield analyzes supplier behavior against thousands of historical scam patterns, so global buyers can spot risk signals early and source with confidence.
No credit card required · First risk check is free
China sourcing is a black box — until something goes wrong.
Most buyers only discover risk after losing a deposit, receiving fake samples, or fighting a shipping fraud. By then it's too late.
Information asymmetry
Overseas buyers can't easily verify factories, ownership, or production capacity from across the world.
Hidden scam patterns
Fraudulent suppliers reuse the same behavioral playbooks. Without data, every buyer learns the hard way.
No central intelligence
Scam experiences live scattered in private chats, forums and lost emails — never aggregated for protection.
From supplier signals to a decision in seconds.
Describe the supplier interaction
Share payment method, MOQ, communication channel, and company signals. Takes 60 seconds.
Pattern detection runs instantly
We compare against thousands of historical scam cases and behavioral patterns.
Get a risk score and signals
See risk level, matched scam patterns and recommended next actions before you commit.
One platform for sourcing risk intelligence.
Supplier Risk Checker
Analyze any supplier interaction against historical patterns. Get a 0–100 risk score.
Run a check →Full Risk Report
Unlock detailed explanations, similar scam cases and recommended actions.
See pricing →Scam Pattern Library
Learn the playbooks: fake factory, sample swap, deposit scam, shipping fraud.
Browse library →Verification Service
Order factory verification, supplier background checks, or product inspection.
Request service →One sourcing mistake costs more than a year of Pro.
The average deposit scam reported on SourcingShield costs buyers $3,800. A single fake sample shipment can stall a product launch for months. Risk intelligence pays back the first time it stops a bad payment.
- Unlimited risk checks across all your suppliers
- Full scam pattern library with prevention playbooks
- Detailed reports with similar historical cases
- Priority access to verification services
Averages from user-submitted incidents · 2023–2025