The system reduces manual BOM (Bill of Material) preparation work by extracting parts and quantities from documents and aligning them with enterprise systems used for procurement and production.
How it works
The system reads drawings, PDFs, and spreadsheets, extracts parts and quantities, standardizes inconsistent naming, and connects the results to enterprise records so BOM preparation requires far less manual work.
Application here
AI improves spare-part identification and keeps service BOMs more consistent with engineering and production systems.
Business impact
This reduces wrong-part shipments and helps speed up service turnaround by improving part matching.
Limitations
Results depend on master-data quality. Legacy products with weak documentation are harder to align, and ambiguous matches may still need manual review.
In production
This is already used to cut manual BOM preparation effort where teams currently piece together parts data from multiple disconnected documents.
Research
The frontier is moving toward systems that not only read BOM data, but understand component relationships, detect inconsistencies, and connect the result more directly to sourcing and planning work.
Examples
PTC Servigistics automatically generates a service BOM from as-built configuration and field replacements, reducing part identification time by 40 % (PTC customer reference). Syncron Service Parts Planning is used by ABB for service-part demand forecasting — .