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WWebkms

Paper in, clean data out

Turn fiscal notes, weigh tickets and invoices into clean data and on-time billing

Every operations business has a pile: fiscal notes, weigh tickets, delivery slips, supplier invoices, statements. Someone types them into a spreadsheet, someone else checks them, and the billing cycle waits. We replace that pile with a pipeline.

Stack of delivery tickets and invoices beside a laptop showing extracted data fields

Outcomes

What changes in the first month

  • Hours of daily data entry removed from the office workload
  • Tickets grouped into invoice-ready batches per customer, per job site, per period
  • Missing, duplicate and mismatched documents flagged the day they happen — not at month end
  • A searchable archive where any ticket, note or invoice can be found in seconds

The problem

Why this work stays manual

The data exists, but not where it is useful

Weights, products, prices and job sites arrive as PDFs, photos and email text, then get retyped — with typos — into spreadsheets that drive your billing.

Revenue leaks quietly

A ticket that never makes it into the batch is a load you gave away. Duplicates and wrong weights turn into customer disputes and credits.

Month end is a manual reconciliation marathon

Matching tickets to orders, notes to invoices and invoices to payments is done by eye, and it always lands on the same one or two people.

Capabilities

What the system does

Configured to your rules, your language and your escalation thresholds — not a generic template.

Any input, one pipeline

Email attachments, PDFs, scans, phone photos from drivers, shared drives and downloads from your existing scale or ticketing software all land in the same intake.

Field-level extraction

Customer, product or grade, gross and net weight, tonnage, ticket number, truck and driver, job site, date and time, price, tax and cost centre — extracted and normalised.

Validation and exception queues

Rules check totals, tax, price sheets, sequence gaps and duplicates. Anything uncertain goes to a short review queue instead of silently entering your books.

Reconciliation

Tickets are matched to orders and fiscal notes, and mismatched weights, missing loads and double-billed tickets are surfaced with the evidence attached.

Billing packet generation

Matched tickets are grouped into invoice batches with backup documents attached and pushed to your accounting system, ready for approval.

Archive and audit trail

Every document is stored with its extracted fields, its source, who reviewed it and what changed — searchable by customer, ticket number, truck or date.

Deployment

How it goes live

  1. 01

    Document audit

    We collect two to four weeks of real documents and map every field you actually use, plus the rules your staff apply from memory.

  2. 02

    Pipeline build

    Intake, extraction, validation rules, exception handling and the destination format for your sheets or accounting system.

  3. 03

    Shadow run

    The pipeline runs beside your manual process for a week. We compare outputs line by line until the numbers match.

  4. 04

    Cutover and monitoring

    You switch to reviewing exceptions instead of typing everything. We monitor accuracy and tune rules as new document types appear.

Works with

Scale house and ticketing software exportsQuickBooks, Sage and other accounting systemsGoogle Sheets and ExcelShared inboxes and Google DriveExisting ERP and order databasesCustomer and supplier portals

Most used in

Questions we get asked

How accurate is the extraction?

On stable document types we target near-perfect field accuracy, and we prove it in a shadow run before cutover. Anything the system is not confident about goes to a review queue rather than into your books.

Do we have to replace our scale or ticketing software?

No. We read what it produces and push clean data back where you need it. Most quarries and yards keep their scale house software exactly as it is.

What about handwritten tickets?

Handwriting is supported with confidence scoring; anything ambiguous is routed to a human check with the image side by side, which is still far faster than typing every ticket.

Ready to scope document automation?

Bring one workflow that eats your week — calls you miss, documents you retype, reports you rebuild. We will map it, tell you what it costs to automate, and what we would do first.