Business area digitalisation analysis

Digitalisation of fleet and equipment management

How to better manage asset availability, maintenance, fuel, documents, safety and total cost of ownership

Digital maturity

Typical digital maturity

Shows the level of digitalisation companies in this line of business typically operate at.

The assessment considers use of core systems, how far processes are digitalised, integrations, data readiness and advanced use of data.

A 3 means ordinary, middling maturity. A 5 is given only where real-time data, automated decisions and advanced optimisation are already a routine part of core operations.

medium
Digitalisation potential

Digitalisation potential

Shows the scale of business impact digitalisation could have in this line of business.

It weighs economic leverage, the scope for digital impact, the scale and repetition of processes, value lost today, and the leverage of better data and decisions.

A business area’s score is calculated from five weighted dimensions. A sector’s score is derived from the scores of its business areas.

84/100
Biggest challenge
Asset data is fragmented across multiple systems
Biggest opportunity
Data-Driven Asset Availability

Greatest result comes not from more telematics reports, but from a single process for managing asset availability and total cost of ownership.

How fleet and equipment management works

The business area covers road transport, specialist equipment, construction, municipal and other mobile equipment fleets. The main objective is to ensure that the right assets are technically prepared, documents are valid, and usage costs are justified.

Assets physically move and operate under different conditions

Mileage, operating hours, load and environment affect maintenance needs.

Failure directly halts revenue or service

Downtime of critical assets often requires expensive replacement.

Costs are fragmented across many sources

Fuel, repairs, tyres, insurance, taxes and depreciation are analysed separately.

Document deadlines are critical

Technical inspections, insurance, permits and certificates must be controlled for each specific asset.

Market and technology context

Electrification, the abundance of telematics data, remote diagnostics and predictive maintenance are transforming fleet management. Real value emerges when technical signals are connected with maintenance tasks, the operational plan and finance.

  • Fuel and energy cost pressureMore precise comparison of drivers, vehicles and work scenarios is required.
  • ElectrificationCharging, battery condition and route suitability introduce new planning variables.
  • Remote diagnostics and telematicsThe number of technical signals is increasing, requiring conversion into specific maintenance tasks.
  • Safety and compliance requirementsDocumentation, inspections and driver or operator qualification checks must be traceable.

Typical activity chain

01

Asset acquisition and registration

Asset profile, technical data, documents and usage rules are created.

02

Allocation and usage

Assets are allocated to a department, employee, facility or task.

03

Telematics and consumption monitoring

Mileage, working hours, location, fuel, energy and usage signals are recorded.

04

Maintenance and repair

Work is planned, including breakdowns, spare parts, workshops and downtime.

05

Document and compliance control

Deadlines for inspections, insurance, permits and certificates are monitored.

06

Total cost of ownership and asset replacement decisions

Utilisation, costs, residual value and optimal replacement timing are evaluated.

Digital maturity model

0

Asset register and maintenance managed in spreadsheets

Documents, failures, fuel and repair history are fragmented, and asset availability is checked through employees.

1

Separate telematics, repair and accounting systems

Core data is captured digitally but not connected in a single asset profile.

2

Digitalised maintenance and document processes

Scheduled maintenance or document control operates, but telematics, the operational plan and costs are assessed separately.

3

Integrated asset profile and maintenance chain Typical current situation

Asset register, telematics, maintenance work, documents, fuel and availability KPIs linked across key asset groups.

4

Fleet managed by condition and cost Target

Maintenance schedules, asset allocation and replacement decisions adjusted based on actual condition, usage and total cost of ownership.

5

Predictable asset availability

Failure, energy and usage patterns help anticipate maintenance, asset replacement and optimal allocation.

Key finding

Fleet data often fragmented across telematics, maintenance, fuel card, accounting and document systems, leaving no single reliable view of asset condition.

Maintenance planning must consider not only calendar or mileage, but also actual condition, upcoming tasks and operational demand.

Best to start by selecting one asset group and connecting the register, telematics, maintenance tasks, document deadlines and key actual costs.

Related topics

Fleet management systemMaintenance managementAsset cost of ownership analytics

Assessing where asset availability and cost are being lost across the fleet

A review of asset register, telematics, maintenance, fuel, documents, utilisation and total cost of ownership will be conducted to help select the first phase.