Software and systems · 28 Sep 2026

What kinds of sawmill software are there, and which do you need?

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Sawmill software comes in several kinds, and each keeps a different record of the same wood. Log procurement and scaling systems record what was bought and delivered. Optimisers and grading scanners on the machines record every log and board. Kiln control records drying. Planning software holds cutting plans against orders. The ERP holds orders, stock and invoices, and maintenance software holds assets and downtime. Most mills run several of these from different suppliers. A more useful question than which kind to buy next is which record each of your questions needs, and where two records have to meet.

What the search returns

The pages that answer this question are mostly suppliers describing their own category: an ERP maker's sawmill page, a cutting-pattern tool, a maintenance system. The ERP page from acadon says its system "optimizes processes from wood procurement to inventory management" and offers "a variety of interfaces for machine control and inventory management". Each page makes a fair case for its own record. None says that the value one kind of software produces can depend on data another kind owns.

Procurement and scaling What was bought and delivered Optimiser and grading Every log and board, and a value table Kiln control Drying Planning Cutting plans against orders ERP Orders, stock, invoices and prices Maintenance Assets and downtime Realised prices, to check the value table
Each system is accurate for its own purpose. The optimiser chooses between products using values that the ERP's sales records can check. Diagram: Quarri.

What the optimiser depends on

The clearest evidence is a 2017 study in Annals of Forest Science by Rais and colleagues, three of whom worked for Microtec, the company that makes the CT scanner the study tested. They scanned 36 Douglas-fir logs, sawed them, and simulated the value of sawing each log at its best rotation angle rather than the conventional one. The simulation gave "an average value increase of up to 20%". The full result carries the condition that matters here: "an average increase of value from 4 to 20% compared to the conventional horns-up position depending on the relative price differences between the strength grades."

In the simulation, the gain was a function of prices: the same logs gave a fifth more value or a twenty-fifth more, depending on the spread between grades. The study is small, simulated and nine years old, and it covers one decision, rotation. Our reading is that the dependence on prices applies to any optimiser that chooses between products by value, though the study itself does not test that.

An optimiser gets those values from a table. One maker's edger and trimmer documentation describes "Configurable Wane Rules & Value-Based Priorities" and solutions adjusted by "grade, volume, and customer-specific requirements." The prices those priorities should reflect are realised in sales. Many mills update their price files routinely. Whether the values in the table match what each grade actually sold for is a separate question, and one that can be answered from data the mill already holds.

The records sit apart

The same documentation says "Each processed board is logged in a SQL database, allowing for real-time tracking and analysis." That is a board-by-board record, held beside the machine. The ERP holds orders, packs and invoices. Planning software holds what the mill intended to cut. Each is accurate for its own purpose. The questions an owner or finance lead asks often need two of them together: what a grade actually earned, which log sources pay, where the mill loses time.

From Quarri's own work with a sawmill: the trim line was the bottleneck, down 75%+ of the time.

Which do you need

Start with the optimiser's value table, checked against the prices each grade actually realised in the last quarter. Where the ranking or the spread differs, the optimiser is choosing between products on different terms from the market, and title 48 sets out the check in more detail. It needs no new software.

Then take the three questions that cost you most when the answer is wrong, and write down which record each one needs. If a question needs one system, better use of that system is the answer. If it needs two, buying another kind of software will not help, because the gap is the connection between the records you already have. The same test works on any supplier's pitch: ask which of your records its product reads and which it writes.

When it doesn't apply

A mill that edges and trims by hand has no value table to compare, and its first software question is a different one. Where a mill sells a narrow range of grades with small price differences, the Rais result suggests the optimiser's sensitivity to prices is small too. And some questions do sit in one system: credit, payables and most of accounting belong to the ERP alone.

Quarri for sawmills is built around how a sawmill runs, from log intake to shipped order.

Sources

  1. Rais, Ursella, Vicario and Giudiceandrea, "The use of the first industrial X-ray CT scanner increases the lumber recovery value: case study on visually strength-graded Douglas-fir timber", Annals of Forest Science, 2017, open-access copy: hal.science
  2. acadon, "ERP Software for Sawmills": acadon.net
  3. Automation & Electronics, 3D Edger & Trimmer Optimizer: automationelec.com
  4. Quarri evidence ledger, E17 (proven)

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.

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