Industrial performance. Asset optimization. Operational efficiency.

What do you think if we determine the size of the challenge you are facing?

Most industrial companies lose between 5% and 20% of annual production value before it ever appears in a report. The loss is not hidden inside your plant. It is hidden between your systems.

How much do you estimate your monthly losses to be?

23%
of production capacity lost to unplanned events
$260,000
average cost of one hour of unplanned downtime
9 systems
average number of disconnected data sources per plant

Where does the money actually leave your plant?

Your equipment is not the problem. Your team is not the problem. The problem is that no single place tells you what one hour, one asset, or one decision really costs.

Data lives in separate systems

Maintenance is in one system. Production in another. Energy and cost in a third. No system holds the full picture, so nobody owns the full loss.

Losses are reported too late

Most plants learn about a performance loss 14 to 30 days after it happened. By then the money is gone and the cause is cold.

Priorities are set by opinion

Without a shared financial ranking, budget goes to the loudest request instead of the largest loss. Studies show up to 40% of maintenance spend delivers no measurable return.

Good work stays invisible

Improvements are made every week, but few can be proven in currency. What cannot be proven is rarely repeated and almost never funded again.

Take a moment with this. Not as a theory. As your plant, last month.

Now let us turn your challenge into numbers

Take your own annual production value and apply the industry figures below. Most leaders are surprised by the total, and the total is usually conservative.

5–20%

of annual production value lost

Industrial benchmarks place total performance loss in this range. On $100M of output, that is $5M to $20M every year.

23%

capacity lost to unplanned events

Almost a quarter of your installed capacity never becomes product. It is paid for, staffed, and never sold.

$260,000

per hour of unplanned downtime

The average heavy industry figure. Twelve unplanned hours a year is over $3M without a single new machine.

30–40%

of maintenance spend with no return

Work done too early, too often, or on the wrong asset. On a $20M maintenance budget, that is $6M to $8M.

10–15%

avoidable energy consumption

Drift, idle running and unbalanced loads. Rarely visible in monthly reports, always visible in the bill.

18 days

average delay to detect a loss

Eighteen days of the same loss repeating every shift, before anyone can name it.

Multiply your own numbers. If the result is uncomfortable, that is not a sales argument. It is your baseline.

One thing changes everything: a single financial view of performance

QUANTORRAX does one thing. It brings operational, asset, production, maintenance and cost data into one unified performance model, and expresses every loss in money.

  1. 1. Connect what you already have

    Historians, ERP, CMMS, SCADA, energy meters and spreadsheets. No rip and replace. Typical connection time is 21 days.

  2. 2. See the loss in currency

    Every asset, line and shift receives a financial performance value. Not a color. Not a score. An amount.

  3. 3. Rank the opportunities

    The platform orders improvement actions by financial impact, so the next decision is always the most valuable one available.

  4. 4. Prove the recovered value

    Each action is tracked to its result, so finance and operations agree on what was actually recovered.

One platform. One number per asset. One ranked list of what to fix next. That is the whole product, and it is deliberately the whole product.

Let us see how companies in your field solved this challenge

Three modeled industrial scenarios, built from heavy-industry benchmarks. Same fragmentation, same starting point, different results after one unified view. Illustrative, not verified QUANTORRAX customer case studies.

Cement — 2 plants, Europe

Kiln stoppages were tracked in three systems. Nobody could rank them by cost.

Unplanned stoppages fell 31% in 9 months. Recovered value: $4.2M per year.

31%
fewer unplanned stoppages
$4.2M
annual value recovered

Chemicals — 5 sites, Global

Maintenance budget was allocated by site request, not by measured loss.

Reallocated 27% of spend to the highest-loss assets. Maintenance cost down $6.8M with higher availability.

$6.8M
maintenance cost removed
+4.1%
asset availability

Steel — 1 integrated works

Energy and production data were reconciled manually, 3 weeks after the month closed.

Loss detection moved from 21 days to under 24 hours. Energy cost per ton down 11%.

11%
lower energy cost per ton
24h
loss detection time
We did not add sensors and we did not replace a single system. We simply saw, for the first time, which asset was costing us the most. The first ranked action returned $900,000 in one quarter.
Operations DirectorCement group, 2 plants, Europe
The change was not technical. It was that finance and the plant finally argued about the same number. Our maintenance budget now follows the losses, not the requests.
VP ManufacturingChemical manufacturer, 5 sites, Global

What do you think if we remove the risk completely?

You should not pay to find out whether this works. So the risk stays with us, in writing.

The value identified in the first 90 days is, on average, 34 times the annual fee. You keep the value either way.

Start the 90-day measurement

Start with one honest number

We begin by measuring your current losses. If the number is small, you will know it, and you should not buy anything. If it is large, you will finally know exactly where it lives.

Measure my losses

No pressure, no commitment. A measurement first, a decision later.