In the high-stakes world of high-risk e-commerce, fraud isn’t just an “operating cost”—it’s a silent killer. For merchants in complex verticals, the battle against chargebacks and malicious actors is constant.
A recent 90-day analysis of 51 high-risk merchants using Convesio’s AI-powered fraud protection revealed a staggering reality: the system identified and stopped $1,964,597.55 in fraudulent transactions.
Here is how advanced machine learning is redefining security for the modern merchant.
The 90-Day Impact: At a Glance
The data proves that static fraud rules are a relic of the past. By shifting to an AI-driven model, these merchants saw immediate, measurable results:
| Metric | Impact | The Bottom Line |
| Total Fraud Blocked | $1,964,597.55 | Revenue saved from malicious actors. |
| Blocked Transactions | 5,560 | Individual attacks stopped in real-time. |
| Daily Savings | $21,828.00 | Average fraud prevented every 24 hours. |
| Merchant Average | $38,521.52 | Amount saved per business in just 3 months. |
Why Standard Fraud Tools Fail High-Risk Merchants
Traditional payment processors often use a “one-size-fits-all” approach. For businesses in high-risk sectors, these basic filters create more problems than they solve:
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High Manual Review Rates: Teams waste hours playing “detective” on suspicious orders, slowing down fulfillment.
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The “False Positive” Trap: Rigid rules often block legitimate customers, killing your conversion rate and damaging brand reputation.
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The Chargeback Death Spiral: When sophisticated fraud slips through, merchants face heavy fees and risk losing their processing privileges entirely.
The Convesio Solution: A Dual-Engine Defense
Convesio doesn’t just “filter” transactions; it analyzes them through a multi-layered ecosystem that combines global data with merchant-specific customization.
1. The Global Machine Learning Brain
Every transaction is measured against hundreds of signals from a vast global payment network. This AI doesn’t just look at the card number; it analyzes:
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Shopper Identity: History and reputation of emails and IP addresses.
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Behavioral Links: Connecting identifiers to spot a single fraudster using multiple cards.
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Velocity Checks: Identifying “card testing” (rapid-fire small transactions) before they escalate.
2. Granular, Custom Rule Sets
While the AI handles the heavy lifting, merchants have “surgical control” over their risk tolerance. You can create automated rules based on:
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Device Fingerprinting: Flagging hidden VPNs or proxy servers.
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Location Mismatches: Highlighting when a card’s issuing country doesn’t match the user’s IP.
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Trust Lists: Ensuring your VIP customers never face friction, regardless of the order size.
“By turning fraud management from a reactive, manual chore into a proactive, automated strategy, Convesio empowers merchants to scale with confidence.”
The “Multiplier Effect”: Savings Beyond the Transaction
Blocking nearly $2 million in fraud is just the beginning. The ripple effect of this protection creates massive operational savings:
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Eliminating Chargeback Fees: With 5,560 transactions blocked, merchants avoided an estimated $111,200 to $556,000 in administrative fees alone.
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Protecting Processor Relationships: Lower fraud ratios mean better standing with banks and lower long-term processing costs.
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Operational Efficiency: Automated blocking means your team focuses on growth and customer service, not manual order reviews.
Secure Your E-commerce Future
Fraudsters are getting smarter, but your defense can evolve faster. Convesio provides the transparency, control, and AI-driven precision needed to protect your margins and your reputation.
Ready to see how much your business could save with AI-powered protection?
