Monitoring leased vehicles – making usage and condition transparent throughout the lease period
In leasing operations, the actual use of a vehicle over the term of the contract is a key factor for billing, maintenance costs, and value retention. It is therefore crucial for lessors to be able to assess the usage and technical characteristics of individual vehicles in a comprehensible manner.
Billing, maintenance decisions, and condition assessments are based not only on fixed contract parameters, but increasingly on actual usage. Events such as accidents, unusual wear and tear, or deviations from the intended use have a direct impact on maintenance costs, availability, and vehicle value.
This allows leasing-related issues to be assessed in a transparent and data-based manner throughout the entire contract period.
SERVICE PORTFOLIO
Monitoring leased vehicles with CMS.Rail
- Documentation of usage data such as mileage, operating time, events, and deviations in vehicle operation
- Creation of a reliable data basis for needs-based maintenance
- Detection and verification of technical events such as accidents or exceptional stress relevant to maintenance and billing
- Provision of structured condition information for objective assessment of vehicle condition over the leasing period
- Overview of usage, stress, and technical anomalies of individual vehicles
- Support for maintenance planning in a leasing context and billing based on consistent usage data
The advantages at a glance
Traceability of
usage and condition
Support for value retention
over the leasing period
Transparent basis for
billing and maintenance planning
Increased margin on
the maintenance flat rate
Reduction of ambiguities
and disputes
Please contact us personally
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Would you like to learn more about CMS.Rail? We would be happy to present the software to you in a personal appointment and answer your questions.
Nanostructure Technology (today's name: Quantum Engineering) at University of Würzburg
M. Sc.
Competence Network AI in SMEs "AI-HUB Northern Bavaria"
Real innovation requires not only knowledge, experience and creativity, but also a strong team and communication.
Because Wölfel is active across industries in the areas of expertise of vibrations, structural dynamics and acoustics, new challenges, customer requirements and knowledge transfers are constantly arising. This always opens up new use cases for the application of smart data-driven algorithms for us and our customers.
Nanostructure Technology (today's name: Quantum Engineering) at University of Würzburg
Competence Network AI in SMEs "AI-HUB Northern Bavaria"
Real innovation requires not only knowledge, experience and creativity, but also a strong team and communication.
Because Wölfel is active across industries in the areas of expertise of vibrations, structural dynamics and acoustics, new challenges, customer requirements and knowledge transfers are constantly arising. This always opens up new use cases for the application of smart data-driven algorithms for us and our customers.
Nanostructure Technology (today's name: Quantum Engineering) at University of Würzburg
M. Sc.
Competence Network AI in SMEs "AI-HUB Northern Bavaria"
Real innovation requires not only knowledge, experience and creativity, but also a strong team and communication.
Because Wölfel is active across industries in the areas of expertise of vibrations, structural dynamics and acoustics, new challenges, customer requirements and knowledge transfers are constantly arising. This always opens up new use cases for the application of smart data-driven algorithms for us and our customers.
Nanostructure Technology (today's name: Quantum Engineering) at University of Würzburg
Competence Network AI in SMEs "AI-HUB Northern Bavaria"
Real innovation requires not only knowledge, experience and creativity, but also a strong team and communication.
Because Wölfel is active across industries in the areas of expertise of vibrations, structural dynamics and acoustics, new challenges, customer requirements and knowledge transfers are constantly arising. This always opens up new use cases for the application of smart data-driven algorithms for us and our customers.