ROI Calculator

TrackMyMachines ROI Calculator

Most factories log uptime, downtime and part counts by hand, paying for the admin and running half-blind in between. Set the calculator to your operation and see the monthly return, and exactly how we work it out.

Built on how UK manufacturers actually use TrackMyMachines. Conservative by design.


Tell us about your factory

Adjust these to match your factory floor. The estimate updates as you type.

Expected productivity boost A gain in percentage points of utilisation — if you run at 60% today, a 5-point increase takes you to 65%. We default to a conservative 5 points; most customers see between 5 and 15 once downtime reasons are captured and acted on. +5 pts
Do you capture uptime, downtime & part counts by hand today?
Yes
No

Estimated saving per month

£8,200
Net £7,650 / mo £91,800 a year
  • Machine time recovered

    Running cost saved by lifting utilisation 5 points.

    £5,200
  • Manual entry removed

    Labour saved on capture TrackMyMachines logs automatically.

    £3,000
Pays for itself in
6 days
Year-one return
11×

Connect your first machine in under 15 minutes.


The Method

How this is worked out

We add up two savings: machine time you get back, and admin time you stop paying for. No black box. Here is each one, worked through with your numbers.

1Machine running cost recovered

Same output, fewer running hours.

Each machine runs 8 hours a day. TrackMyMachines lifts utilisation by 5 points, so you hit the same output in 0.4 fewer hours per machine each day. Across 10 machines over a 5-day week, that's 20 hours of running time recovered. At a £65/hour running cost:

£5,200 recovered a month

2Manual data entry removed

Admin TrackMyMachines logs on its own.

Logging uptime, downtime and part counts by hand takes about 50 minutes per machine each day. Across 10 machines over a 5-day week, that's 41.7 hours of admin TrackMyMachines does for you. At £18/hour labour:

£3,000 saved a month

This saving only applies if you log uptime, downtime and part counts by hand today.

The saving depends only on the extra points TrackMyMachines adds to the hours you already run, not on where your utilisation starts today. The two figures add up to your £8,200 monthly estimate.


Payback

When TrackMyMachines pays for itself

At your numbers, the one-off hardware is repaid almost immediately. After that, it's all return.

6

Days to pay back

11×

Year-one return

Return = year-one net saving ÷ total year-one cost (1,115% ROI). Year one: subscription £6,600 + one-off hardware £1,500, across 10 machines.

Cumulative net saving £91,800

Banked across 12 months at today's inputs

Paid back ~day 6
M1
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M3
M4
M5
M6
M7
M8
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How You Find It

Where the hidden hours are

The saving above is time you already pay for but cannot see today. TrackMyMachines surfaces it one stop, one cycle and one machine at a time.

Downtime reasons, captured

Every stop gets a reason logged at the machine. You fix the cause, instead of guessing why output slipped.

The whole day on one timeline

Runs, stops and changeovers laid out in order. The quiet gaps you never noticed become obvious.

Alerts when it matters

Get told the moment a critical job goes down, so a ten-minute stop never turns into a lost shift.

Utilisation, machine to factory

Start at the whole factory and drill down to a single spindle. See exactly where the lost hours sit.

Counts and cycle times, automatic

Part counts and cycle times log themselves. Slow cycles and hidden bottlenecks show up without a clipboard.

OEE, the full picture

Availability, performance and quality roll into one OEE score, so you see how much true capacity every machine is really delivering.


Machine utilisation

Where a +5-point gain leaves you

Industry true capacity ≈ 60%
Industry average 60%
With TrackMyMachines 65%

Why You Can Trust It

A deliberately conservative estimate

These figures use our own customer data benchmarks, not self-reported industry averages. A 5-point gain still leaves plenty of headroom. We model the floor, not the ceiling.

We count percentage points of utilisation, never compound growth, and price the full subscription against the saving. Real results are usually higher once downtime reasons are captured and acted on.


Why It Matters

You're competing on a global stage

The world's most productive factories are extending their lead, and they're doing it with visibility, not longer hours. Every hour you can't see is an hour a competitor already has. This is the gap the best plants are closing.

10%

below the G7 average — UK manufacturing productivity per hour worked, with Germany running 16% ahead.

ONS, via “Mind the Gap” — Barclays & The Manufacturer, 2025
11%

of annual turnover now lost to unplanned downtime at the world's largest manufacturers — up from 8% five years ago.

Siemens, The True Cost of Downtime, 2024
30 hrs

of production an average factory loses every month to downtime it never fully accounts for.

L2L, The Impact of Manufacturing Downtime, 2025
53%

of UK manufacturers now run real-time KPI dashboards. The ones measuring are the ones closing the gap.

“Mind the Gap” — Barclays & The Manufacturer, 2025

TrackMyMachines puts that visibility on every machine you run, so the lost hours become recovered output and you compete on facts, not instinct.


See these numbers on your own machines

Connect your first machine in under 15 minutes and watch the live data confirm these figures for yourself.

These figures are based on the numbers you entered. Edit them to match your factory. Edit inputs