The Supplier Intelligence Copilot is designed to help procurement and supply-chain professionals move from supplier signals to an informed next action without requiring them to manually interpret every metric. The experience is built around one core question:
How can we help a user understand why a supplier requires attention, validate the supporting evidence, and determine what to investigate next?
The interface therefore prioritizes clarity, evidence, and explainability over automation.
These users may need to evaluate multiple signals across quality, delivery, and inventory before determining whether intervention is necessary. The Copilot is intended to reduce the effort required to interpret those signals while keeping the user responsible for the final decision.
The user should be able to:
| User Goal | UX Response |
|---|---|
| Identify which supplier requires attention | Surface an aggregated supplier-risk status |
| Understand why the supplier was flagged | Show quality, delivery, and inventory signals |
| Validate the assessment | Keep source-derived metrics visible |
| Understand the overall situation | Generate an AI Risk Brief |
| Know what to investigate next | Provide evidence-backed recommended actions |
| Remain in control | Keep consequential supplier decisions with the user |
Select Supplier → View Risk Status → Review Supplier Signals → Generate AI Risk Brief → Understand Risk Drivers → Review Recommended Actions → Human Investigation & Decision
The experience intentionally moves from facts to interpretation to action. The user first sees supplier information calculated from source data. AI interpretation is introduced only after the underlying supplier signals are visible. This creates a simple decision-support flow:
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Supplier Data → Deterministic Signals → AI Interpretation → Recommended Actions → Human Decision
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Purpose: Help the user choose a supplier and quickly understand whether it requires attention by showing the risk status.
Key information: