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Repairs and specialist services: Operations dashboard for coffee machine service companies

An operations dashboard for coffee machine service companies that sets faults against usage intensity, shows which machines break down often and where contract terms and reality drift apart.

Operations dashboard for coffee machine service companies. An operations dashboard that shows deviations and their source. Example with demonstration data.

Which figures coffee machine service companies really need.

A coffee machine service company has plenty of data but little overview. Which machine types break down more often than others, and is that down to the machine or to how it is used? Which contracts take more visits than budgeted, because an office makes far more cups than estimated at signing? How many preventive visits were done on time? Those questions can only be answered by laying service records, counter readings, contracts and invoices side by side. Without that, contracts stay underpriced for years and a machine type keeps being recommended that in practice causes many faults.

Operations dashboard for coffee machine service companies

Example
  1. 1

    Define usage bands and faults

    Done

    First we agree how usage intensity is measured, for example cups per day from counter readings, and how faults are categorised.

  2. 2

    Link records, counters and contracts

    In progress

    The dashboard takes faults and work from service records, usage from counter readings, cover and price from contracts and revenue from the accounting package.

  3. 3

    Discuss deviations and adjust

    Next

    Periodically you see which machine types break down often per usage band, which contracts need more effort than budgeted and which preventive visits are overdue.

From scattered figures to one overview.

Define usage bands and faults

First we agree how usage intensity is measured, for example cups per day from counter readings, and how faults are categorised. A fault caused by scale is different from a failed pump. Only with fixed bands and categories can machines and contracts be compared fairly.

Link records, counters and contracts

The dashboard takes faults and work from service records, usage from counter readings, cover and price from contracts and revenue from the accounting package. Every figure traces back to the underlying records, so a machine that stands out can be investigated directly.

Discuss deviations and adjust

Periodically you see which machine types break down often per usage band, which contracts need more effort than budgeted and which preventive visits are overdue. That is the basis for a conversation with a customer about their contract, or for an internal decision about which machines you still recommend.

Figures from your own work.

The data comes from the service system, the counter readings on service records and the accounting package. Where readings are missing, the dashboard shows that instead of estimating. The service department owns faults and records, sales owns contracts, the office owns revenue. The dashboard changes none of those sources; it places them side by side and makes differences visible, so every figure stays checkable.

Look per machine type or per customer

Looking per machine type helps decide which machines you recommend and which parts to stock. Looking per customer helps with contract conversations. The dashboard supports both, but start with the question that matters most right now: loss-making contracts or fault-prone machines. The other angle follows from the same data.

Faults in absolute terms or per usage

The number of faults per machine says little if one machine brews ten times more coffee than another. Faults per usage band gives a fairer picture. It does need reliable counter readings, so the dashboard should show for how many machines those exist. Without them, absolute counts are all you have.

Monthly or quarterly view

A monthly view gives fast signals, but faults are erratic from month to month. Quarterly gives a steadier picture for contract decisions. For operational points such as overdue preventive visits a weekly overview is more useful, and for trends per machine type a longer period. The dashboard can show both, as long as the period is clear.

Which figures we put on the dashboard.

The dashboard shows faults per machine type and usage band, contracts taking more effort than budgeted and the state of preventive visits. Which usage bands you work with is recorded at the start. Together we look at an ordinary quarter and at a large customer whose counter readings went unrecorded for months. Longer-term trends, fault causes by region and water hardness and an overview per technician can be added when you need them.

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Can we see which contracts need reviewing?

Yes. The dashboard shows per contract the actual visits and parts against what was estimated at signing. Contracts that consistently cost more stand out. Whether and how you revise the contract is then discussed with the customer on the basis of that data.

What if counter readings are not always recorded?

Then the dashboard shows which machines lack them and does not calculate with estimated values. That makes clear where recording needs to improve. A fixed field for the counter reading on the service record helps close the gap quickly.

Can we give customers a report on their machines?

Yes, a selection: usage per machine, visits carried out and faults. Internal data such as margin per contract stays with you. For a facilities manager, such a report is a good basis for an annual review, showing that the maintenance works and where it could improve.

Does the dashboard help choose machines for new customers?

It shows which machine types are reliable at which usage band in your own practice. That is more concrete advice than general specifications. The choice remains tailored, but backed by what you see yourselves, which often convinces a customer more than a brochure.

See where the work drifts.

Start with a short intake. Then we schedule a call to show the software with your services, team and way of working.

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What you want

Operations dashboard for coffee machine service companies: faults by usage intensity, breakdowns per machine type and contracts against actual effort.

Parts
  • Define usage bands and faults
  • Link records, counters and contracts
  • Discuss deviations and adjust
What happens next
Intakenow, a few minutes
Call and demoafter our reply
Setuptogether with you
Liveonce everything is ready
Price Investment and licenceA one-off investment in your software and a fixed monthly licence for hosting, updates and support. You hear the amounts in the call.

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