Automated data mining

11. March 2026, 14:39

How much capacity does automated data extraction actually return to the company?

Manually transcribing a single received invoice into the accounting system typically takes 5 to 7 minutes. During this time, the accountant must open the document, check the information, transcribe the data into the ERP, and finally correct any errors.

This is administration that does not generate value. It only consumes time. However, we know from project experience that automated data extraction is on average 42% faster. What does that mean in numbers?

Model example: 1,000 invoices per month.

Manual processing
≈ 100 hours of work

Automated processing
≈ 58 hours of work

The difference?
42 hours per month.

That's an entire working week for one person. And that's only counting pure working time.

Not included:

✅ lower error rate during transcription
✅ elimination of lost documents
✅ reduced risk of late payments
✅ better audit trails and process controls

Today, automation is based on a combination of OCR/AI, i.e., machine learning, artificial intelligence, and controlled data validation with quality control by our operator. The result is a stable workflow, greater process transparency, and secure integration into ERP through an API interface.

Digitization is not just about saving hours. It is about redirecting people's capacity to analytical work, cash flow control, cost management, and greater operational stability.

If you want to know the specific impact on your operations, let's go through your document volumes and calculate the real benefits. Our sales team will be happy to prepare a tailor-made model for you.

---

Tomáš Melecký, tomas.melecky@zmgroup.cz
Marian Čábi, marian.cabi@zmgroup.cz