Document intelligence

Available now

Turn messy invoices, purchase orders, receipts, and attachments into trusted operating data.

Zerqano makes documents the fastest path to value by extracting, classifying, reviewing, approving, and routing document data into the workflows that need it next.

Buyer problem

Critical operational inputs arrive as PDFs, scans, receipts, confirmations, and attachments, but teams still rekey or chase them manually.

Current posture

This solution is supported by current product proof and is actively marketed as a live capability.

In-product proof

What document intelligence software looks like in the current product.

The public story now moves straight into route-backed proof so the claim stays tied to how the workflow actually behaves.

North-star pages use current foundation routes as proof, not hypothetical product surfaces.

Ops coordinatorDocuments

Messy paperwork becomes structured operational signal instead of manual re-entry.

The documents workflow turns invoices, purchase orders, receipts, and confirmations into extracted, reviewable, and ingest-ready operating data.

Files ready

18 docs

New PDFs, scans, and attachments waiting for review or approval.

Confidence

0.91 avg

Classification and extraction confidence visible before teams approve ingest.

Duplicates

2 blocked

Hash-based duplicate detection stops repeat processing before it creates noise.

Document queue

top 2

Vendor invoice classified and ready for approval

Watch

Review the extracted totals, doc type, and destination before the data updates downstream workflows.

Purchase order needs reclassification

Risk

The system flagged uncertainty instead of hiding it, so the operator can correct the route safely.

Step 1

Upload or scan

Step 2

OCR and classify

Step 3

Review and approve

Step 4

Ingest and trigger

Outcome

Documents stop living as operational debt and start feeding procurement, pricing, inventory, and pipeline workflows.

Open Documents

Problem framing

Why this workflow breaks today.

Documents are one of the biggest sources of truth in operations, but they rarely enter the decision system cleanly or fast enough.

Operations teams, AP and purchasing stakeholders, branch admins, and analysts dealing with messy operational paperwork.

Operational truth arrives in messy formats

Invoices, purchase orders, receipts, and confirmations often land as PDFs, scans, or attachments that are hard to use downstream.

Teams still retype or recheck key facts manually

Costs, quantities, dates, and document type decisions are often recreated by hand before they reach the system that needs them.

Document handling breaks trust when confidence is hidden

If teams cannot see confidence, duplicates, review state, and target routing, they do not trust the ingestion flow.

What exists now

  • - Upload or capture messy operational documents from PDFs, scans, receipts, and attachments.
  • - Run OCR and AI classification with confidence, duplicate detection, and clear status handling.
  • - Support review, reclassify, reprocess, approve, and ingest flows when human validation is needed.
  • - Route approved document data into downstream operational tables and trigger the next pipeline or workflow.

Operational proof

  • - Current document workflows already support extraction, classification, confidence, duplicate handling, review, and ingestion.
  • - The documents module is not passive storage. It is an operating wedge that feeds procurement, pricing, inventory, and revenue workflows.
  • - Approval-aware routing makes document automation safer and more believable than upload-only claims.

Trust and explainability

  • - Confidence, review state, duplicate handling, and target routing stay visible, which makes document automation easier to trust.
  • - The product keeps a human review path for low-confidence or ambiguous documents instead of hiding uncertainty.
  • - Document intelligence compounds across the platform because a trusted invoice or PO can change costs, ordering, pricing, and scenario analysis downstream.

Connected system

This workflow gets stronger because it is connected to the rest of ItemIQ.

01

Upload or scan the document into the shared document workflow.

02

Run extraction, classification, and duplicate checks with confidence attached.

03

Review, reclassify, or approve the result when needed.

04

Route the approved output into invoices, purchase orders, sales orders, expenses, or downstream pipeline triggers.

Where it expands next

Expands into broader ingestion automation, more document types, richer extraction schemas, and stronger recommendation loops fed directly from operational paperwork.

FAQ

Questions teams ask during evaluation.

No. The safe public claim is that the system handles documents trapped in inboxes, PDFs, scans, and attachments once they are brought into the document workflow.