Nanonets automates construction invoice processing, delivering 10x speed increase and 7,200 work hours reprioritized
A Minnesota-based construction company processed a large volume of invoices from over 40 suppliers with different formats, spending significant time and resources on manual data entry and verification before data could be entered into accounting software.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Invoice submission via API
The AP team at the client site sends invoices to Nanonets using a simple API integration.
Tools used
NanonetsTextractAbbyyNanonets OCR API
Outcome
After switching to Nanonets, the company automated the most labor-intensive steps of document processing, achieving a 10x increase in processing speed and reprioritizing 7200 work hours. Invoice verification that would earlier take over 5 minutes for batches of documents could be blazed through in under 30 seconds.
What failed first
The company first tried Textract and then Abbyy; both failed to handle multi-page invoices, multi-line fields, and unstructured documents with imperfections. Accuracy was poor requiring excessive rework, the verification UI took up to ~5 minutes per invoice, and it proved impossible to retrain either algorithm, forcing the company to abandon both tools.