Alogram Payment Fraud Blocker
Protect your Shopify store with AI-driven risk scoring, automated fulfillment holds, and real-time loss prevention metrics.
What Alogram Protects
Stop the fraud that Shopify merchants actually deal with. Alogram Payment Fraud Blocker is designed for modern fraud and abuse patterns, including:
Friendly fraud, unauthorized use, and payment disputes handled automatically.
Identify serial returners and item-not-received patterns before they impact margin.
Stop coupon stacking and repeated “new customer” account abuse.
Detect bot signups and account takeover signals in real-time.
Flag velocity anomalies and suspicious patterns across multiple sessions.
How Alogram Works
Alogram analyzes signals across the shopper journey and order context to produce a risk decision quickly.
Unusual browsing patterns, rapid navigation, and abnormal checkout timing.
Device fingerprinting, IP/geolocation anomalies, and network risk indicators.
Cart composition, value anomalies, and shipping/billing mismatches.
Why It's Different
Fraud prevention shouldn't destroy conversion. Alogram focuses on high-precision detection to avoid unnecessary customer friction.
Keep your good customers moving smoothly through checkout.
Stop fraudulent orders before they turn into costly disputes.
Clear ambiguous orders quickly with AI-powered evidence.
Detect patterns instead of fixed conditions that attackers easily learn.
Human-in-the-Loop
AI handles the obvious cases, and humans review the uncertain ones. Automation without losing control.
Alogram flags only the orders that truly need a human eye, saving hours of manual labor.
Surface complex fraud patterns that automated models aren't fully confident about.
Your decisions train the model, improving accuracy for your specific store over time.
Key Features
Shopify-native workflow built for merchant operations.
Prioritize what to review first based on depth of risk.
Instantly route risky orders into your internal processes.
Deep-dive into the “Why” behind every flagged order.
Choose how aggressive you want your automated detection to be.
Common Use Cases
“We're getting hit with friendly fraud and disputes.”
“Refunds are spiking from a small set of repeat customers.”
“Promo abuse is killing our margin.”
“We need to catch fraud before fulfillment, not after chargebacks.”
Frequently Asked Questions
Alogram evaluates behavioral, device, location, and order context signals to score risk quickly so merchants can prevent losses before fulfillment.
AI typically outperforms rules-only approaches because it detects patterns across many signals and adapts to new fraud behaviors without constant rule rewriting.
Human-in-the-loop combines AI automation with targeted human review for uncertain cases, improving accuracy while keeping merchant control.
Yes. Alogram is designed to detect repeat abuse patterns such as serial refunds/returns, promo manipulation, and suspicious customer behavior over time — not just stolen cards.
Reduce chargebacks by preventing high-risk orders before fulfillment, tightening identity and behavior checks, using targeted review for ambiguous orders, and monitoring repeat dispute behavior.
Modern techniques combine behavioral analytics, device intelligence, anomaly detection, supervised ML risk scoring, and human-in-the-loop review workflows.
The model processes multiple real-time signals to produce a risk score and confidence, enabling actions like tagging, review queuing, or merchant-defined workflows.
Over-blocking hurts revenue. Frictionless detection reduces fraud while protecting conversion by minimizing false positives and unnecessary steps for legitimate customers.