accounts_payable · manufacturing · workflow
Nanonets AI-based OCR automates accounts payable for a California semiconductor manufacturer
The client processed invoices from over 50,000 global vendors, with 10x that number of invoices annually, making the entire accounts payable process tedious and time-consuming and requiring end-to-end optimisation across invoice importing, data extraction, and reconciliation.
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 arrives from source
Invoices arrive from email attachments, databases, or cloud storage.
Tools used
NanonetsAI-based OCR engine
Outcome
Nanonets enhanced the client's accounts payable process multifold through automated invoice import, AI-based field extraction, and direct ERP integration.
Results
Volumeover 50,000 vendors
Grounding & classification
Source type: vendor customer story
20 fields verified against source quotes.
data extractiondocument aiidpocrinvoicemetric backedtools describedworkflow describedmanufacturingautomation ratevendor customer storyaccounts payableinvoice processingdocument to recordinbox to system