LLM Analog Finder
Find the substitute before you buy the duplicate
In large inventories the same kind of part often sits under different names, units and spec formats. Buyers can’t see the equivalent already on the shelf, so they order new stock.
An AI pipeline that cleans messy inventory master data, merges duplicates and finds functional substitutes for the item you need. Parameters first; a category-expert LLM steps in only where the algorithm is unsure.
- Built
- My idea and architecture. I wrote the first prototype, for cables, from scratch in Python and JavaScript
- Scaled
- In production at an industrial company. A team of engineers and AI agents scaled it under my lead
- Tested
- Open retail catalogs; synthetic inventory data in SAP and other ERP formats
76kcatalog items run through the pipeline at an industrial company
1 in 3items got a substitute or a conditional match
72%of “analogs” in electrical were duplicates of the same part
2 daysto onboard a new product group; the first build took 3 weeks
Why it matters One architect with AI agents builds a working prototype; a team scales it on a proven design. A new product group becomes configuration, not development.
Production numbers from an industrial company. Client name under NDA.