Document processing

Maschinenfabrik Reinhausen (MR) · appliedAI

Vendor-reportedManufacturingIn productionEnterpriseLLM

Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.

Reported by appliedai.de (vendor self-report). Checked against the source page on 2026-09-06. 2 of 5 figures below appear on that page word for word; the rest are marked.

The problem

Low process efficiency and high susceptibility to errors in manually extracting key information from complex specification documents for product configuration and quoting.

What was deployed

Vendor
appliedAI
Technique
LLM
Build or buy
Built in-house or to order
Deployment
Custom build
Data used
specification documents
Timeline
6 months

What changed

Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.

~3 sQ&A response timefrom 134 s for manual response

~45x for QA – LLM average Q&A response: ~3 s (vs. 134 s for manual response)

Not found on the source page in these words

~12 secondsSpecification extraction timefrom ~5 h manually70-pages document

~1500x for Automated Extraction – Specification extraction (70-pages document): ~12 seconds (vs. ~5 h manually, for basic analysis and detailed analysis)

Not found on the source page in these words

~13 sProduct matching timefrom estimated 3 h manually70-pages document, 3 products

~830x for Automated Product Matching – Product matching (70-pages document, 3 products): ~13 s (vs. estimated 3 h manually)

Not found on the source page in these words

90%Basic analysis extraction results accuracy

90% for basic analysis extraction results

Quoted word for word from the source

77%Detailed analysis extraction results accuracy

77% for detailed analysis extraction results

Quoted word for word from the source

Sources

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