Overview
The AI Dashboard provides real-time visibility into Aida’s optimization performance. Monitor approval rate improvements, cost savings, retry effectiveness, and provider health from a single view.Accessing the AI Dashboard
Navigate to Dashboard > AI > Performance to view the AI optimization dashboard.Key Metrics
Approval Rate
Current approval rate vs. baseline (before Aida). Shows percentage lift.
Cost per Transaction
Average processing cost with Aida vs. manual routing baseline.
Retry Recovery
Percentage of soft-declined transactions recovered through intelligent retry.
Dashboard Sections
Performance Overview
The top-level view shows aggregate metrics over a configurable time period:| Metric | Description |
|---|---|
| Approval Rate | Percentage of approved transactions |
| Approval Lift | Improvement vs. pre-Aida baseline |
| Total Revenue Recovered | Revenue from transactions approved via retry |
| Cost Savings | Savings from optimized provider selection |
| Transactions Processed | Total volume processed through Aida |
Provider Performance
Compare provider performance side-by-side:| Column | Description |
|---|---|
| Provider | Provider name |
| Volume | Transaction count routed to this provider |
| Approval Rate | Provider-specific approval rate |
| Avg. Cost | Average processing cost per transaction |
| Aida Score | AI-calculated quality score (0-100) |
Retry Analytics
Detailed breakdown of Aida’s retry performance:| Metric | Description |
|---|---|
| Retries Attempted | Total soft-decline retries |
| Retries Succeeded | Successfully recovered transactions |
| Recovery Rate | Percentage of successful retries |
| Avg. Retry Latency | Additional time added by retry flow |
| Top Recovery Paths | Most effective provider failover combinations |
Recommendations
Aida generates actionable recommendations based on observed patterns:Example: Add a new provider
Example: Add a new provider
“Transactions from Brazil with Mastercard have a 15% higher decline rate than Visa. Adding Provider X (which has 95% Mastercard approval in BR) could improve overall approval by 3-5%.”
Example: Adjust retry strategy
Example: Adjust retry strategy
“Retry attempts for transactions over 500. Consider limiting retries for high-value transactions to reduce latency.”
Example: Cost optimization opportunity
Example: Cost optimization opportunity
“Provider A and Provider B have equivalent approval rates for US card transactions, but Provider B costs 0.3% less per transaction. Shifting 50% of US traffic to Provider B could save $X/month.”
Filtering
| Filter | Options |
|---|---|
| Time Period | Last 24h, 7d, 30d, 90d, custom range |
| Country | Filter by transaction country |
| Payment Method | Cards, PIX, Bank Transfer, etc. |
| Provider | Specific provider connection |
| Card Brand | Visa, Mastercard, Amex, etc. |
Exporting Data
Export AI performance data for reporting:AI Dashboard data is refreshed every 15 minutes. For real-time transaction monitoring, use the main Payments section in the Dashboard.
A/B Testing
Aida supports controlled A/B testing to validate optimization impact:- Configure a test in AI > Experiments
- Define control group (manual routing) vs. test group (Aida)
- Set traffic split percentage
- Monitor results in the AI Dashboard
- Promote the winner to 100% traffic