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Use case

Purchase order automation software

Purchase order automation software reads a PO in any format, matches it to your master data in Oracle or SAP, and writes the sales order without a person keying it. Sainapse is not template-based OCR. It reads context, learns from every correction, and escalates only what's genuinely ambiguous.

Updated August 2026
The problem

Extraction tools read the document and hand back a file.

Someone on your team still maps the fields against master data, resolves the exceptions, and keys the order into Oracle, SAP, or ServiceNow, 15+ minutes at a time. Multiply that by thousands of orders a day and the cost lands twice, once in labor and once in the errors that show up downstream. The work moves around. It does not go away.

62.93%

of orders touched by nobody (zero fields edited), across 28,377 reconstructed orders

Avery Dennison
2.10%

of header fields ever edited, across 1,126,728 fields compared

71%

zero-touch orders, up from 26% as monthly volume grew ~13×

How it works

How an order flows through Sainapse

1. Sainapse picks up the PO.

Email, a portal, or API. Sainapse reads the document in context, so a new format does not need a new template and a new language does not need a new model.

2. Sainapse matches every line against your master data.

Customer codes, part numbers, pricing terms, and ship-to addresses, all against the source you already maintain in Oracle, SAP, or your MDM. Anything ambiguous goes to a reviewer with the evidence attached. Sainapse escalates instead of guessing.

3. Sainapse writes the sales order into your system of record.

High-confidence values land directly in Oracle CPQ, SAP, or ServiceNow. Your team sees the same record they would have created by hand, and nobody keyed a field.

Sainapse vs. extraction-only OCR

Extraction tools stop at the read step. They hand your team a JSON payload and leave the mapping, the exceptions, and the keying to a person. Sainapse writes the sales order.

Extraction-only OCRSainapse
New supplier formatsNeeds a template per supplierReads any layout in context
OutputReturns a JSON payloadWrites the sales order into your system of record
Behavior over timeStays as accurate as the rules you maintainLearns from every reviewer correction
ExceptionsDrops into a queue with no triageRoutes by confidence with reasoning attached

What it runs on

Powered byDocument Intelligence · Intelligent Field Extraction · Master Data Mapping & Validation · End-to-End System Write
IntakeEmail, a portal, or API
FormatsPDFs and Excel, plus handwritten notes, scanned faxes, and phone photos, through the same pipeline
Master dataRead from the source you already maintain in Oracle, SAP, or your MDM: no parallel data set
Writes toOracle CPQ, SAP, or ServiceNow
ExceptionsRouted by confidence, with the evidence and the reasoning attached

Common questions

Yes. Sainapse reads handwritten notes, scanned faxes, and phone photos through the same pipeline as PDFs and Excel. Confidence on a handwritten field runs lower, so those orders go to a reviewer more often. The rest of the order still finishes on its own.

None. If your customer codes, part numbers, and pricing terms live in Oracle, SAP, or a separate MDM, Sainapse connects to that source directly. Sainapse plugs into the systems your team already runs on, with no change to your existing stack, so your team has no new system to open and no parallel data set to maintain.

62.93% of orders are touched by nobody (no field edited by a person) across the 28,377 orders Avery Dennison has run through Sainapse. Of the fields that do need a look, only 2.10% of the 1,126,728 header fields compared were ever edited, tracked at the field level rather than sampled.

Sainapse ramps faster than a new hire. It starts on your real POs and learns from every reviewer correction, so it gets more accurate as it runs rather than after a long build. Avery Dennison's zero-touch orders climbed from 26% to 71% as monthly volume grew ~13×, without a rebuild in between.

Nothing on your end. Sainapse reads the document in context rather than against a fixed template, so a new layout needs no new template and no new model. If a new field appears, Sainapse sends it to a reviewer until you decide what it maps to.

Other document types Sainapse automates end to end
The mechanism behind the match
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