1. The Traveling High-Spender
A luxury retailer almost rejected a $9,500 purchase from a customer using a VPN abroad. Our AI detected:
✅ 3-year purchase history with the same rare shipping address
✅ Typical ‘luxury browse time’ (18 minutes before checkout)
✅ Matching cardholder name across 7 previous orders
Approved instantly – turned out to be a CEO shopping while traveling.
2. The Midnight Crypto Buyer
A crypto exchange nearly blocked a $50K BTC purchase at 3AM local time. FraudSlash verified:
✅ Device fingerprint matched 2FA-authenticated logins
✅ Gradual account funding over 2 weeks (not sudden large deposit)
✅ Consistent typing rhythm matching user’s historical behavior
Prevented a false decline that would’ve lost platform fees.
3. The Corporate Account Anomaly
A SaaS company flagged a sudden 50-seat license purchase as fraud. Our system recognized:
✅ Same IP range as past approved invoices
✅ Linked to the company’s verified domain email
✅ Payment method used for 3+ years of renewals
Approved $15K deal that was just an urgent team expansion.
4. The Gift Card Savior
A marketplace declined a $2K gift card bundle thinking it was reseller fraud. We spotted:
✅ Recipient email matched 5+ years of holiday gifting patterns
✅ Purchased after browsing ‘anniversary gifts’ for 25 minutes
✅ Paid via PayPal with 100+ transaction history
Saved a Valentine’s Day surprise (and earned seller loyalty).
These four stories showcase how traditional fraud systems fail businesses by:
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Over-relying on rigid rules (like VPN usage or purchase time)
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Missing critical context (customer history, behavioral patterns)
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Costing real revenue (lost sales, frustrated buyers, damaged trust)
FraudSlash’s AI-driven approach solves this by:
🔹 Seeing the full picture – Combining behavioral, transactional, and historical signals
🔹 Balancing risk & revenue – Approving good customers while blocking true fraud
🔹 Learning continuously – Adapting to your unique business patterns
The result?
✔ Higher approval rates for legitimate high-value orders
✔ Lower operational headaches from manual reviews
✔ Stronger customer relationships – No more insulting false declines
Why This Matters for Your Business
Every false decline isn’t just a lost sale—it’s:
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Lost lifetime value (that traveler could’ve been a repeat luxury buyer)
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Damaged reputation (“Why does my favorite store think I’m a criminal?”)
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Wasted resources (teams reviewing orders that should’ve been auto-approved)
FraudSlash fixes this broken dynamic with AI that works for your revenue—not against it.
