How it works
Most payment problems don't look like failures. A slight drop in approvals in one market, or a fee increase on one card type hides inside the totals. Anomaly Detection learns what normal looks like, so it can flag what isn't.
Learn the baseline: 10+ machine learning models learn the expected pattern for approvals, sales, refunds, chargebacks and fees. They account for seasonality, region and payment method. Flag deviations: statistically significant changes outside the expected range are flagged and sized by financial impact. Alert and explain: your team gets an alert via email or Slack. IXO AI identifies anomalies and gives you recommendations on what to do next.
Key benefits
Catch issues early
Get alerted when payments move outside the norm. No waiting for manual reviews, month-end reports or customer complaints.
Protect revenue and margins
Spot approval drops, refund spikes, fee increases and growing chargeback patterns before they turn into a sustained loss.
Give your team time back
Machine learning watches every KPI, so nobody spends hours digging through dashboards.
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 it, understand it, act on it
Catch the issues that don't look like failures.
A small approval drop in one market, a fee increase on one card type, a delayed PSP file. Every anomaly shows the affected transactions and projected annual impact.
Pick a KPI and the dimensions you care about, then see actual performance against the expected baseline.
Drill down by issuer, BIN, gateway, method, country, merchant account, 3DS flow or decline reason.
Turn any anomaly into an alert rule, at the threshold you choose.
Alerts land in Slack, and your team marks them resolved or snoozed.
