Anonymized case study
From four hours of invoice work to twenty minutes.
A Dutch logistics finance team was spending more than four hours each day extracting data from PDF invoices and entering it into an ERP system.
- Industry
- Dutch logistics company
- Problem
- Manual invoice processing
- Time to deploy
- 8 weeks
We built a document-intelligence pipeline that classifies, extracts, and routes invoice data automatically. It handled 94% of invoices without human intervention and was deployed in eight weeks.
94%
without manual input
4 uur → 20 min
daily time saved
Client details are anonymized at the client’s request.
A similar workflow?
Start with the bottleneck.
We map the current route, exceptions, and systems before suggesting software.