Automated PDF data extraction & processing

Automated PDF data extraction & processing

Handling large volumes of PDF attachments received via email is repetitive, error-prone, and slow. Employees traditionally open every file by hand, extract the required information, and transfer it into ERP and business systems. We built an automated pipeline that reads, understands, and files the data instead.

Industry

Agriculture

Revenue

1 Billion +

Employees

3,000+

Location

Germany

Inbox → Extraction → ERP

Every inbound PDF, read and structured automatically

PDF

order_id

48213-DE

supplier

AGRA-Nord GmbH

quantity_kg

12,400

deviation

none

status

synced → ERP

The challenge

Before

This agriculture enterprise processes hundreds of PDF documents every day, each arriving as an email attachment. Handling them was entirely manual employees opened every file, extracted the required data, and re-typed it into ERP and IT systems.

High document volume

Hundreds of PDFs arriving daily created a heavy, constant processing workload for the team.

Manual data transfer

Copying information into ERP and IT systems by hand was time-intensive and prone to human error.

Delays in order processing

Confirming or rejecting order deviations was regularly slowed down by the manual review step.

OCR limitations

Traditional OCR tools struggled with inconsistent PDF layouts, producing unreliable results.

The results

After

A smart, automated pipeline now handles every PDF received by email replacing repetitive manual work with fast, accurate data processing.

1900+

hours of manual labor saved annually

49900+

documents processed automatically each year

60%

reduced human error and improved process reliability

Copyrights © 2026 by BIT SOLUTIONS.

Copyrights © 2026 by BIT SOLUTIONS.

Copyrights © 2026 by BIT SOLUTIONS.