How it Works
IXOPAY Anomaly Detection continuously runs KPI analysis across more than 50 data dimensions to identify patterns that are affecting your payment performance. It accounts for seasonality, regional trends, payment methods, and normal operating behavior, then flags deviations that are statistically meaningful.
Use Anomaly Detection to monitor authorization rates, sales volume, refund rates, fee behavior, VAMP risk, and other payment KPIs.
From hidden payment issues to proactive action
Spot complex patterns
Get alerted when payment behavior deviates from expected performance, instead of waiting for manual reviews, end-of-month reports, or customer complaints.
Protect revenue and margins
Identify authorization drops, refund spikes, fee increases, fraud changes, or operational failures before they create sustained revenue or margin loss.
Investigate root causes faster
Pinpoint anomalies by specific payment dimensions such as issuer, BIN, gateway, payment method, country, merchant account, 3DS flow, or decline reason.
Save time and tedious efforts
Reduce the efforts spent in analyzing data; no need to spend hours, the ML models are working for you.
Find, understand, and act on payment anomalies faster
Surface hidden revenue, cost, and operational issues automatically.
Machine learning models detect unusual payment behavior by comparing actual performance against predicted baselines and confidence intervals.
Detect statistically significant deviations from expected KPI performance
Monitor technical, operational, and economic anomalies across payment data
Flag issues such as authorization drops, gateway timeouts, fee spikes, fraud changes, or refund rate increases
Estimate financial impact, affected transactions, and projected annual impact
Explore anomalies across the dimensions that matter to your business.
Define the KPI and dimensions you want to investigate, then visualize actual performance against expected baseline behavior.
Select target KPIs such as successful authorization rate, refund rate, sales volume, fee rate, or VAMP rate
Analyze anomalies by dimensions such as payment method, merchant account, gateway, BIN, issuer, country, or processor
View actual values, predicted baselines, warning thresholds, and critical thresholds
Export anomaly data or send the analysis to IXONav for a summary and recommendations
Get notified when payment KPIs move outside expected behavior.
Create alert rules from detected anomalies or baseline patterns, so your team can monitor critical payment KPIs without manually checking dashboards.
Monitor KPIs against expected baseline behavior
Set sensitivity thresholds for relevant deviations
Use Slack integrations and notifications to keep teams informed
Mark alerts and anomalies as read, resolved, or snoozed for later follow-up
Check our product documentation for more details.
“IXOPAY gave us much clearer visibility into what was driving our payment costs across PSPs, and cut a lot of the manual work it used to take to reconcile that data.”