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How do AI agents handle PDF orders?
How PDF orders work
AI agents handle PDF orders by extracting text, tables, and structured fields from any layout. Customers send POs as scanned, native, or hybrid PDFs. AI extracts customer identity, SKUs, quantities, prices, and delivery dates. The extracted data passes through the same validation and posting flow as email and EDI orders.
Channels: PDF in depth
Key terms
- Layout model
- Model that understands document spatial structure.
- OCR
- Optical Character Recognition for scanned PDFs.
- Field extraction
- Pulling specific values (PO, line items, totals) from the document.
- Confidence score
- Per-field certainty score.
- Master data match
- Reconciling extracted values against ERP records.
Proof points
- 99 percent first-time-right rate on autonomous orders.
- 60 percent throughput per employee gain on autonomous channels.
- Danfoss processes orders in under 1 minute across 26 countries.
- Danfoss onboards new countries in 1 day instead of months.
Frequently asked questions
How long does deployment take?
First production flow ships in 6 to 12 weeks. Coverage scales to 80 percent autonomy within 6 to 9 months on disciplined deployments. New countries and channels add in days, not months.
How is the program measured day to day?
Three numbers carry the program: autonomy rate (share executed without human touch), first-time-right rate (share correct on the first pass), and cost per order. Cycle time and exception volume sit underneath.
Who owns it inside the organization?
Operations and IT co-own. The business case sits with the CFO, the architecture with the CIO, and the day-to-day outcomes with customer service and sales. The AI engineering is vendor responsibility, not a customer build.
Channels: PDF in action.
Book a 30-minute demo and see how Autonomous Commerce executes B2B transactions in your stack.
Channels: PDF in action.
Book a 30-minute demo and see how Autonomous Commerce executes B2B transactions in your stack.
