Accounts payable · Production

Nanonets AI-based OCR automates accounts payable for a California semiconductor manufacturer

The problem

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.

Workflow diagram · grounded in source
1
Invoice arrives from source
trigger
“import these invoices from anywhere, email attachments, databases, or cloud storage”
2
No-code ERP import
integration
“out-of-the-box import workflows that basically enabled them to import these invoices from anywhere, email attachments, databases, or cloud storage directly into their ERP with simple no-code integrations”
3
AI OCR field extraction
ai_action
“our proprietary AI-based OCR engine extracted the relevant fields, like total amount, due date, etc., and pushed it directly into their ERP system. The beauty of using our technology here was that, unlike our competitors, we are template…”
4
ERP data push
output
“pushed it directly into their ERP system”
Reported outcome

Nanonets enhanced the client's accounts payable process multifold through automated invoice import, AI-based field extraction, and direct ERP integration.

Reported metrics
Global vendor countover 50,000 vendors
Annual invoice volume relative to vendor count10x the number of invoices
AP process improvementenhanced their Accounts Payable process multifold
Reported stack
NanonetsAI-based OCR engineERP
Source
https://nanonets.com/customer-success-story/california-based-semiconductor-manufacturing-giant-revolutionises-ap-processes
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Nanonets enhanced the client's accounts payable process multifold through automated invoice import, AI-based field extraction, and direct ERP integration.

What tools did this team use?

Nanonets, AI-based OCR engine, ERP.

What results were reported?

Global vendor count: over 50,000 vendors; Annual invoice volume relative to vendor count: 10x the number of invoices; AP process improvement: enhanced their Accounts Payable process multifold (source-reported, not independently verified).

How is this accounts payable AI workflow structured?

Invoice arrives from source → No-code ERP import → AI OCR field extraction → ERP data push.

Related accounts payable cases