Document Processing in Manufacturing
REMBE GmbH, KALO — Manufacturing & Engineering
How REMBE and KALO automated document review with AI — 80% less manual effort.
50,000 documents a year processed automatically, error rate cut from 5% to 0.5%
Challenge
REMBE, a specialist in explosion protection and pressure relief, processes over 50,000 documents a year — orders, delivery notes, certificates. Three employees were fully occupied with manual review and data entry, at a 5% error rate.
Starting Point
- 3 FTE dedicated to manual document review
- 50,000+ documents per year
- 5% error rate on manual data entry
- Turnaround time of 3–5 days per order
- Growth was making manual scaling impossible
Approach
- Pilot phase with a single document type (delivery notes)
- MVP development: AI-based classification and data extraction
- Integration into the existing ERP system
- Human-in-the-loop workflow for exceptions
- Rollout to all document types across three phases
Solution
AI-based document classification with automated data extraction and ERP integration. Routine cases are processed fully automatically. Whenever the model is uncertain, the document goes to manual review — and the AI learns from every correction.
Value / Results
- 80% time savings on document processing
- Error rate cut from 5% to 0.5%
- Turnaround time down from 3–5 days to under 1 day
- ROI within 8 months
- Staff freed up for higher-value work
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Vincent Martens
Principal Consultant
„Schicken Sie mir zwei echte Dokumente — ich zeige Ihnen, was automatisch geht."
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