Sound familiar?
- Documents come as PDF, scan, photo or mail attachment — always different
- Staff type positions, numbers and dates manually
- Error rate 3–8%, every correction costs time
- Delayed processing blocks approvals and billing
Solution · Operations & back office
Transport documents, delivery notes, CMRs, PODs and invoices get detected, extracted and prepared for review. Your team checks and approves.
Fits well when …
Automatic extraction with a clear review view. Human decides on exceptions.
The system detects the document type (delivery note, CMR, POD, invoice) and routes it to the right process.
All relevant fields (positions, quantities, numbers, dates) are read and structured.
Unsure fields and discrepancies (e.g. quantity mismatches) get colour-coded.
The record is shaped so it goes into ERP/TMS with one click after approval.
Before
After
Example numbers
Volume
~1,200 docs/day
Handling time
-85%
80h → 12h manual
Savings
~€35k / month
4 people in back office
Indicative figures from pilots and comparable projects. Actual numbers depend on your setup.
GDPR-compliant, optional local processing. Audit trail for every extraction. No data leaves your systems without clear approval in the architecture.
Other solutions
Solution · Service & dispatch
Classify, summarise, draft reply — the human checks and sends. Less time in the inbox, faster response.
Solution · Knowledge & enablement
SOPs, customer rules, process knowledge searchable. Answers with source references, fewer cross-department queries.
The bottleneck check shows which documents are worth it — and which aren't.
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