Know What Will Fail. Before It Does.
Verporta Predictive AI is trained on your historical SAP failure patterns. It flags IDocs, batch jobs, and interfaces likely to fail — giving your team time to intervene.
What Gets Predicted
Three prediction domains trained independently on your SAP historical data.
IDoc Failure Prediction
Trained on historical IDoc failure patterns per message type and partner. Flags IDocs likely to fail before the batch run.
✓ 4–12 hrs early warning
Batch Job Risk Scoring
Monitors job chain history and resource utilisation. Identifies jobs trending toward failure based on runtime anomalies.
✓ 85% prediction accuracy
Interface Health Monitoring
Tracks PI/PO and CPI message throughput, error rates, and latency. Surfaces degradation before it becomes failure.
✓ Real-time scoring
How the Prediction Engine Works
XGBoost gradient boosting. One model per IDoc message type.
Minimum 500 historical events per pattern. Retrains monthly.
Message type, partner, error history, time-of-day, period-end proximity, volume spike.
Risk score 0–100 + probability of failure within next 24 hours.
< 8% in production environments after 90-day calibration.
Results surfaced in Ops Dashboard. Webhook/email alert for HIGH risk items.
What It Looks Like in Practice
Illustrative scenario, not a specific customer. Results depend on your SAP landscape.
3PL / Logistics — SAP ECC
Predictive model flagged DESADV IDoc failures 2 hours before the batch run — giving ops time to correct partner profiles before shipment. Zero missed shipments in 90 days post-deployment.
✓ Illustrative outcome: Zero missed shipments. Ops team confidence score up 4x.
See Verporta Inside Your SAP Environment
30-minute live demo. We connect to a sample SAP system and show IDoc AI working in real-time. No slides. No pitch deck. Just the product.