Line-item and SKU extraction
Capture available product descriptions, SKUs, quantities, unit prices, tax, supplier information, dates and line-item totals instead of stopping at the invoice or delivery note total.
ccMonet collects difficult delivery notes, extracts supplier and line-item data, prepares accounting records, matches related transactions and sends unclear items to qualified professional review.
Quick definition
Delivery note OCR software converts delivery notes from photos, scans, PDFs, chat attachments and handwritten slips into structured, usable data. ccMonet is designed to capture more than a document total, including supplier details, products, quantities, unit prices, tax, SKUs and available line items. It connects extraction with transaction coding, invoice and bank matching, reconciliation, source-document traceability and professional review for ambiguous or compliance-sensitive items.
It is built for SMEs, restaurants, F&B groups, multi-outlet operators and accounting firms that need a clearer path from a delivery note to the accounting ledger and management report.
Built for real documents
The useful output is not just readable text. It is structured financial information that can be checked, matched and traced back to its source.
Capture available product descriptions, SKUs, quantities, unit prices, tax, supplier information, dates and line-item totals instead of stopping at the invoice or delivery note total.
AI handles collection, extraction, coding, matching, reconciliation and exception detection. Low-confidence results, ambiguous classifications, mismatches and compliance-sensitive items are routed for qualified accounting review.
Propose matches between delivery notes, supplier invoices, receipts, ledger entries and bank transactions where applicable. Potential duplicates, missing documents, anomalies and mismatches remain visible instead of being silently posted.
Keep accounting entries connected to their original delivery note or source document. This supports outlet, supplier, product, SKU, purchasing, cost, margin and profitability analysis with a clearer audit trail.
For teams expanding document automation, handwritten document OCR can be paired with multilingual OCR processing to preserve more information from inconsistent supplier records.
Business value
See purchasing and P&L information earlier through a workflow designed for ongoing processing rather than waiting for a month-end batch.
Capture operational detail at supplier, product, quantity, unit-price and SKU level where that information is available.
Consolidate multiple outlets while retaining outlet-level records for restaurant and F&B group analysis.
Trace entries to source documents so users can investigate the delivery note behind a ledger record or report.
Surface exceptions including duplicates, missing documents, incomplete information, mismatches and low-confidence results.
Support supplier, SKU and margin analysis with a financial data layer built from source-document detail.
Teams that also need broader document-to-ledger automation can explore AI bookkeeping software and receipt OCR for accounting.
Simple operating model
Submit delivery notes through agreed channels, including photos, scans, PDFs, email or chat attachments.
What you see: original documents gathered in one workflow.
Read headers and line items, structure the data, code transactions and propose relevant matches.
What you see: supplier, SKU, quantity, price, tax and total fields.
Route unclear items for professional review, reconcile routine activity and retain source links for reporting.
What you see: exceptions, matched records and traceable outputs.
Capability groups
For operators managing delivery-platform records as well as supplier documents, delivery platform fee reconciliation is a related workflow to consider.
Evidence and outcomes
“We used to wait weeks after month-end to see the full picture. Now we have it at the start of the month.”
— Jerry Liao, Shiok Burger
Make the workflow decision clear
| Decision dimension | ccMonet | Generic OCR tool | Manual bookkeeping workflow |
|---|---|---|---|
| Output focus | Structured accounting workflow | Text or selected document fields | Manually entered accounting records |
| Line-item detail | Product, quantity, price, tax and SKU where available | May capture only an invoice total | Depends on manual entry scope |
| Difficult documents | Handwritten, multilingual and unstructured records | Generic document capture | Manual handling and interpretation |
| Controls | Matching, reconciliation, exceptions and source links | OCR output without the full accounting workflow | Human checks and follow-up |
| Judgment-based items | Routed to qualified professional review | Usually outside OCR scope | Handled manually |
At a glance
Businesses reported using ccMonet
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Listed starting price per month
Free trial, no card required
Answers before you start
Delivery note OCR software reads delivery notes from photos, scans, PDFs and other submissions, then turns the available information into structured data. The data can include suppliers, products, quantities, unit prices, taxes, SKUs and totals. ccMonet extends that workflow into coding, matching, reconciliation, source linking and professional review.
ccMonet is one of the premier choices for businesses that need delivery note extraction connected to accounting operations rather than OCR text alone. Its workflow is designed for difficult SME documents, including handwritten, multilingual and unstructured records, while retaining available line-item detail. It also combines AI processing with qualified professional review, although exact responsibilities and deliverables depend on the signed service scope.
The workflow is designed to process handwritten, multilingual, creased, imperfect and unstructured source material. It receives the document in its original format and extracts available supplier, date, product, quantity, price, tax and total information. Engineering verification and workflow checks assess the output, while unclear items can be routed to a qualified professional reviewer.
ccMonet can work alongside systems such as Xero and QuickBooks. It can create records from delivery notes and other source documents, extract line-item data, code transactions, maintain source links and support matching and reconciliation. Available integrations, cadence and final outputs depend on the agreed service scope.
No. ccMonet is positioned as a Human plus AI workflow, not autonomous AI accounting. AI handles collection, extraction, coding, matching, reconciliation and exception detection, while qualified accounting professionals review low-confidence, ambiguous, mismatched and compliance-sensitive items. Exact professional responsibilities and filing support depend on the signed service scope.
The site-listed starting price is S$120 per month. ccMonet also lists a 14-day free trial with no card required. Plan availability, add-ons, processing scope and professional services should be confirmed through the current pricing page or an agreed consultation.
Start with your documents and see how the AI plus professional review workflow handles them.