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Supply Chain & Procurement · Engineering
Generative AI / BOM Automation
Engineering BOM structuring and eBOM-to-mBOM transition
Live Core high effect
Core capability
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 helps transform the engineering BOM into the manufacturing BOM and reduces handoff errors into production planning.
Business impact
This supports earlier procurement and manufacturing planning while reducing BOM transition errors.
Limitations
Automated rules can still miss manufacturing-specific decisions, and BOM transformation errors can propagate directly into downstream planning.
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 Windchill AI Parts Rationalization (January 2026) automates eBOM-to-mBOM transition: AI groups similar parts, suggests unification and helps transfer engineering BOM to manufacturing BOM with minimal manual effort (PTC press release) — .
https://www.ptc.com/en/news/2026/ptc-launches-windchill-ai-parts-rationalization