Supplier quality exceptions
Incoming quality results and supplier shipments are disconnected across purchasing and inspection systems.
The challenge behind the workflow.
Incoming quality results and supplier shipments are disconnected across purchasing and inspection systems.
Connect production, quality, assets, suppliers, and planning data while preserving product and process context. Help teams investigate deviations and prepare reviewed operational decisions across plants and business systems.
Data to bring together
- Supplier shipments
- Incoming inspections
- Purchase orders
Source systems are examples of the data required. Confirm connector availability, permitted access, refresh timing, and the authoritative owner before implementation.
How Genedata supports the work.
Configure one connected workflow, then reuse its mappings, definitions, and review process as the business grows.
- 01
Connect and prepare
Map supplier and lot identifiers and connect inspections to received materials.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Group nonconformances by material, supplier, and documented inspection method.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Publish supplier review packs with representative evidence and follow-up ownership.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A supplier quality review workspace
Make the next run easier.
Reusable lot matching reduces recurring spreadsheet preparation for supplier meetings.
Start from one approved example. Save the agreed mappings and definitions, publish the reviewed output, and let the next team follow the same evidence instead of rebuilding the preparation.
Measure your own improvement
Time resolving supplier quality discrepancies
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Quality teams validate findings and approve supplier corrective actions.
AI with professional judgment.
Use AI to summarize exceptions and propose investigation paths. Engineers and authorized operators validate process changes and all safety-related actions.
Try the workflow with your team.
Use representative, approved sample data. Agree the expected output and a review owner before extending the workflow to a live process.