How do you digitise forestry paperwork?

Capture new documents digitally where the business controls the form, and read reliably what partners send on paper. For its own scale tickets, harvest reports and contracts, that means data born as fields, with no paper to convert. Where partners write the paper, such as loggers' trip tickets, truckers' delivery notes, buyers' settlements and landowners' contracts, read it into records with checks, and use new contracts to move partners onto digital delivery. Start with the documents that trigger a payment, because that is where errors cost money and where speed pays.

What the usual answer says

Guides to digitising forestry paperwork describe tools: mobile apps and e-tickets for field data, digital platforms for planning and invoicing, scanning of old records. Each helps. The advice assumes the business decides how its documents are produced. Many of the documents that matter most are produced by someone else.

Why partners set the pace

There is little published evidence on this for timber haulage. The closest we found comes from general road freight, which in our view shares forestry's mix of small carriers and paper delivery notes. Miloš Poliak and Dominika Rovňaníková surveyed road freight carriers about electronic consignment notes, publishing in January 2026; we read the abstract. They found "only a small share of carriers currently use" them, "primarily due to high software costs and the lack of partner participation". A digital document is only useful if the other party can issue or receive it.

The same study estimated the prize, from its survey. Digitising transport documents could "shorten the average invoicing delay by approximately 11.5 days, releasing around 7% of tied-up working capital". That is an estimate of potential, and not a measured result.

A 2024 review of wood supply chains by Teijo Palander and colleagues, in Current Forestry Reports, also read as its abstract, notes that "several different data collection technologies can be implemented in wood supply chains to digitalize the forest data depending on the specific needs of organizations". Each party choosing its own tools is part of why documents arrive in many formats.

Two jobs, side by side

For documents the business writes, replace the paper form with a digital one where the data is first recorded, so it is born as fields with keys and never needs reading.

For partner documents, the work that matters is extraction with checks. Each document is read into fields and tested: net against gross less tare, lines times rates against the total, tickets against the loads recorded at the scale. Where a check fails, the document goes to a person with the page beside the fields. Handwritten documents are the hardest. From Quarri's own work with a forestry operation: a pilot turned 20 handwritten trip tickets into structured load records. That was a pilot, and it shows the step can work on a small batch. It doesn't show an error rate at scale.

Settle the keys first

A trip ticket read into fields is useful only if it carries the contract, tract and load identifiers that let it meet the scale record and the settlement. Partners often write those identifiers in their own way: a tract by name instead of number, a contract by the buyer's reference instead of yours. Before scaling up extraction, build the mapping from each partner's identifiers to your own, and keep a list of the records that fail to map. Without it, the records pile up unmatched, and the extraction looks like it failed when the join did.

Shrinking the paper over time

Extraction is the answer for the paper that arrives today. It needn't be permanent. Every new logging, haulage or supply contract is a chance to require digital delivery: an e-ticket, a structured file, a PDF generated by software rather than a scan. The partners who can't comply are a known list, and their paper can be read with the most checking. Over a few contract cycles, the share of paper should fall.

When it doesn't apply

Documents with no numbers the business uses, such as correspondence, need storing and finding, not reading into fields. Businesses whose partners already send structured data electronically have mostly done the second job already. And very small operations with a few documents a month may be better served by careful keying than by any system.

Quarri for forest management is built around how a forest operation runs, from the cruise to the settled account.

Quarri is an AI-native data platform for the timber supply chain. It connects buying, production, sales and inventory for forest management, sawmill, wood products and pulp, paper and packaging operators.