Batch Component Traceability Matching uses AI to reconcile production batch records across MES, ERP, and supplier documentation to establish a complete genealogy linking finished goods to component batches and raw material lots, enabling faster and more complete quality investigations and regulatory traceability reports, across production records and quality management workflows.
Quality and regulatory teams trace the component and raw material genealogy of finished goods by manually cross-referencing MES batch records, ERP goods receipt records, and supplier certificates of conformance. The process takes days for each investigation, relies on error-prone manual linking, and frequently reveals gaps where records were not consistently recorded.
The AI reconciles batch and lot identifiers across MES, ERP, and supplier documentation using probabilistic matching on lot numbers, dates, and quantities, building a linked genealogy graph from finished good to components and materials. Unresolvable links are surfaced as data quality gaps for manual investigation.
Time to complete a production batch genealogy trace decreases; traceability record completeness rate improves.
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