We took the standard R-Keeper report package and they tailored it to us on top of that. It all just works.
Business analytics for rental companies
In rental it is not the asset that earns but its use. These reports show how much of the time each unit is actually working, what it brings in, and what it costs to keep.
In rental it is not the asset that earns but its use. A unit sitting in the yard costs the same as one out on hire — it just brings in nothing.
Automated reports join the hire agreements, the accounts and the repair records, so utilisation, revenue per unit and maintenance costs are read together. That is the only way to see when a unit should be replaced and when a new one should be bought.
The figures worth watching
Fleet utilisation
How many days a month each unit is actually out on hire. It is the central figure in a rental business — everything else follows from it.
Revenue per unit
Not total turnover, but what each machine or unit brings in. Two identical units earning different amounts always have an explanation.
Reasons for downtime
Repair, servicing, sitting in the yard, or simply no demand — four quite different problems with four different answers.
Maintenance and repair costs
By unit and by age. When repair costs rise faster than revenue it is time to replace the unit — and the numbers show exactly where that point is.
Payback per unit
Cumulative revenue against purchase price and cumulative costs. It shows which asset categories are worth buying more of at all.
Average hire length and rate
A longer hire at a lower rate is often more profitable than a short expensive one, because there is less idle time between customers.
How it looks in the report
Fleet utilisation
Utilisation is shown by asset group against a target — a group that is out on hire a third of the time is visible at once, and everything else in the report follows from that figure.
Reasons for downtime
Downtime is broken into lack of demand, repair, waiting in the yard, and planned maintenance. Those are four different problems: one is solved by sales, another by engineering, a third by logistics.
Payback and costs
Payback per unit sets purchase price against cumulative revenue by group, and maintenance costs by age show the point at which repairs start rising faster than revenue. The hire-length view answers whether a longer hire at a lower rate beats a short expensive one.
Where the data comes from
- the hire or booking system (agreements, periods, rates)
- the accounting system
- maintenance and repair records per unit
- telematics or GPS data, where the equipment collects it
What people usually notice first
- 1 The usual finding is a difference in utilisation between identical units. Some are out almost constantly and others sit still, though they are the same machine: the reason is usually where they are stored, or what the booking system offers first.
- 2 The second is asset categories where repair costs already exceed revenue, but which stay hidden because more successful categories cover for them in the combined result.
Data that helps you decide
See how companies like yours put Analitika360 reports to work in Power BI.
Where to start
Most people start with a ready-built report set, which connects to your accounting system within a few days, and add the industry-specific reports as a second stage. Describe your situation and we will tell you what would work best in your case.