AI Supplier Performance Data Search Agent

How Cassidy automates supplier performance management using AI

Step 1: Trigger on supplier data events

The Workflow activates when relevant events occur across connected systems—new PO receipts, ASN updates, NCR logging, or SCAR status changes—ensuring the Knowledge Base always reflects current supplier activity.

Step 2: Unify and index supplier data

Cassidy pulls data from ERP, SRM, QMS, and other sources, resolving supplier identities across vendor IDs and plants while normalizing timestamps, currencies, and part numbers into a searchable Knowledge Base.

Step 3: Calculate and explain KPIs

The Agent computes weighted KPIs (OTIF, PPM, PPV, lead-time adherence) using governed formulas with rolling windows, then surfaces each metric with full lineage—linking scores to specific PO lines, ASNs, and NCRs.

Step 4: Answer natural-language queries

Commodity managers and SQEs ask questions like "Show OTIF for Supplier X at Plant 200 with top late-part drivers" and receive answers with trend charts, cause breakdowns, and direct links to source documents.

Step 5: Generate alerts and assign corrective actions

When KPIs breach thresholds, Cassidy bundles related exceptions, assigns owners, and auto-creates SCARs or CAPA tasks in your SRM/QMS—complete with root-cause grouping and resolution SLAs.

Step 6: Produce scorecards and QBR packs

Cassidy auto-generates supplier scorecards with traffic-light status, trend arrows, and drill-down evidence, plus QBR summaries covering chronic issues, savings realization, and action items for supplier development.