Transport · Cases and applications
In productionReceipt OCR for transport
Drivers photograph the receipts and the AI does the rest: data reading and validation, reconciliation with administration, a daily report and a KPI dashboard for management. Dozens of receipts every day, review of exceptions.
What this project addresses
- Dozens of receipts processed every day
- Automatic daily report by email
- KPI dashboard for management
Example with fictional data
From the document to the next step
An illustrative walkthrough prepared for this page. This is not a live execution or a measurement of customer results.
- 1. Input
Fictional transport record: vehicle DEMO-01, date 29/10 and an unclear handwritten quantity.
- 2. Proposed output
Structured fields for review before importing them into the operational system; the unclear quantity needs confirmation.
- 3. Review and measurement
Compare fields with the original and resolve exceptions. Measure time per record and corrected-field rate using an agreed sample.
Video demonstration
Demonstration summary: Drivers photograph the receipts and the AI does the rest: data reading and validation, reconciliation with administration, a daily report and a KPI dashboard for management. Dozens of receipts every day, review of exceptions. Dozens of receipts processed every day. Automatic daily report by email. KPI dashboard for management
We start with your process
Where should we start?
Tell us which task keeps repeating, which tools you use and what you would like to improve. In our first conversation, we will see whether automation makes sense.