The AI-Powered Supplier Risk Indicator is now a standard feature within the Purchase Order and Direct Supplier Invoice screens in iX ERP.
This AI-powered capability provides a real-time, data-driven assessment of supplier delivery reliability, directly within the user’s workflow.
When opening a Purchase Order (PO) or Direct Supplier Invoice, a Supplier Risk badge is displayed.
This badge gives users an immediate visual assessment of risk based on AI analysis of historical supplier performance.
Risk Status Indicators #
| Badge | Status | Meaning |
|---|---|---|
| 🟢 Green | Low Risk | Supplier consistently delivers within expected lead times |
| 🟡 Yellow | Moderate Risk | Supplier shows occasional delivery variability |
| 🔴 Red | High Risk | Supplier frequently delivers later than expected |
| ⚪ Grey | Insufficient Data | Not enough historical data available for reliable assessment |
How It Works #
The Supplier Risk badge is generated using AI-driven analysis of historical supplier lead time performance.
The system evaluates:
- Historical delivery timelines
- Variability in lead times
- Delivery consistency patterns
- Trends in supplier performance
Based on this analysis, the AI model categorises the supplier into a delivery risk level that reflects the likelihood of delay relative to expected lead times.
The model continuously improves as more transactional data becomes available.
Business Value #
The Supplier Risk Indicator enables proactive decision-making at the exact point where purchasing decisions are made, without running reports or exporting data.
Before placing or approving a PO, users can:
- Identify suppliers with recurring late deliveries
- Make informed decisions when delivery timing is critical
- Engage high-risk suppliers earlier in the process
- Adjust planning or production schedules proactively
- Reduce unexpected delays in receiving and manufacturing
- Improve overall supply chain reliability
All insights are embedded directly within the Purchase Order and Direct Supplier Invoice screens, supporting faster, smarter procurement decisions.
