Daily manual work
Employees read and validated hundreds of freight documents by hand.
Freight documents with Nijsen
OCR and Machine Learning never made it past theory; ENTR made freight documents truly processable.

0
CMRs per year
≈ 0 hrs
Saved per year
Nijsen is an innovative family business in manufacturing. They turn residual streams from the food industry into high-quality animal feed. A key part of their operation is processing freight documents (CMRs). These arrived handwritten daily and had to be entered and validated manually in Talis (TMS), time-consuming and frustrating.
“What OCR and Machine Learning couldn't crack, ENTR solves effortlessly. Our handwritten freight documents now flow through largely automatically.”
Traditional OCR and machine learning solutions couldn't reliably process Nijsen's handwritten CMRs.
Employees read and validated hundreds of freight documents by hand.
OCR techniques produced poor results and required heavy correction.
The process was too labour-intensive to keep up with growing volumes.
Data from freight documents always had to be cross-checked against Talis (TMS).
For Nijsen, ENTR built complete automation in just six weeks.
Handwritten CMRs are interpreted correctly with generative AI, where OCR failed.
A smart API link automatically validates freight document data against the TMS.
70% of documents are processed fully automatically, without manual steps.
Staff find the ENTR platform far more pleasant than ticking and correcting in Talis itself.

Where others got stuck on handwritten documents, ENTR turns it into a smooth process.
≈ 850 hrs
Time saved
Thousands of freight documents are processed largely automatically, the supply chain team focuses on more important work.
70%
Straight-through processing
The vast majority of handwritten CMRs flow through without manual intervention.
Happier team
Less frustration
Thanks to the user-friendly interface, teams work faster with less frustration and more enjoyment.
Ready to grow
Scalable process
Nijsen can expand without freight document processing becoming a bottleneck.





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