Live data in the vehicle fleet: Why real-time transparency is replacing manual data entry

Coordinating vehicle purchases, handling insurance claims, keeping track of expiring leases, and assigning traffic tickets to the correct drivers: Tasks like these define the day-to-day work in many fleets, even though they are repetitive in nature. This leaves little time for the actual optimization of the fleet—that is, determining which vehicles are cost-effective, where costs arise, and how risks can be reduced. This ties up resources and, at the same time, ensures that the actual condition of the fleet is rarely fully visible.

Behind this daily routine lies a problem that runs deeper than the sheer workload: the quality of the data used to manage the fleet. If mileage, fuel receipts, or maintenance appointments have to be entered manually, the care taken in doing so almost inevitably declines. Values are entered late, remain incomplete, or are already outdated by the time they’re analyzed because too much time passes between the event and its recording.

In fleet management, a simple principle applies: The quality of a decision depends directly on the quality of the data on which it is based. This is precisely where the limitations of manual data entry become apparent—not because the team lacks attention to detail, but because it is nearly impossible to maintain complete data manually. The consequences often only become apparent later—during the annual report, cost analysis, or when reviewing the ROI of the vehicle management system in use. That’s when it becomes clear just how incomplete the data was on which earlier decisions were based.

Through direct OEM integration or an OBD-II dongle, mileage, fuel level, ignition status, battery voltage, state of charge, and location can be read directly from the vehicle without anyone having to manually enter these values. The information is thus available the moment it is generated, rather than being reported with a delay. This noticeably changes how fleet operations are managed: maintenance needs can be identified early on, before a vehicle breaks down unexpectedly, rather than reacting only after damage has already occurred.

The advantage is also clearly evident when it comes to location tracking. Live transmission makes a vehicle’s current operating radius traceable at any time, thereby preventing unauthorized use—for example, through adjustable geofencing. For data protection reasons, map data from Yellowmap is used for this purpose. Since the data fields collected can be selected individually, the system also remains compliant with works council regulations.

Furthermore, live data is transforming the role of fleet management itself: instead of compiling and verifying data retrospectively, the condition of the fleet can be monitored continuously. Deviations—such as unusually high fuel consumption or a vehicle that is overdue for maintenance—are identified before they become major problems. Decisions regarding vehicle assignment, maintenance planning, or the redistribution of vehicles within the fleet can thus be made based on data that reflects the actual status rather than relying on outdated reports.

Fleet management software integrated with telematics and OEM systems covers much more than just location data. Monitoring fuel and battery levels shows at any time how ready a vehicle actually is for use, without anyone on the team having to ask. The same applies to mileage: Instead of having to piece it together from logbooks or occasional reports, it’s continuously updated in real time and serves as the basis for maintenance schedules, lease settlements, and replacement planning.

Upcoming maintenance and technical alerts are transmitted directly from the vehicle, so fleet management does not have to rely on feedback from drivers or repair shops to identify when action is needed. Tire pressure can be monitored in the same way: If it deviates too far from the target value, a warning is issued before it becomes a safety issue.

The live location feature displays the current position of all fleet vehicles in real time and can be effectively supplemented with geofencing. With the Plug@Home feature, the system automatically detects when a vehicle is parked at a defined home station, which simplifies analysis—especially for privately used charging points. The Fleet Plug@Home page explains how this works in detail.

GPS data relevant to the logbook can also be automatically documented in this way in compliance with tax authority requirements, without drivers having to manually log each trip. The page on the digital logbook provides further details. Beyond basic vehicle monitoring, G-force sensors also provide automatic accident detection that immediately notifies administrators, while the door status provides real-time information on whether a vehicle is locked or unlocked.

For a growing number of companies, it is no longer enough to compile sustainability data retroactively.

The real problem here is that, while this data already exists in many fleets, it is recorded inconsistently, is difficult to verify, and is not up-to-date enough for reliable reporting. Live data from telematics systems and OEM integrations address this very issue. They provide up-to-date, verifiable figures in real time, transforming reporting from a retroactive formality into an ongoing basis for management decisions. Manually maintained Excel spreadsheets are replaced by automated reports based on real-time metrics from telematics and operational data, which can be used for both budget and cost control as well as for planning maintenance and electrification.

At AZOWO, OEM data from more than 15 manufacturers is consolidated for this purpose. This gives users access to up-to-date vehicle data (live data) without having to install additional hardware. Customizable report templates and automated sustainability reports help meet the requirements of CSRD reporting obligations.

The benefits of a reliable data foundation are evident not only in day-to-day operations but also in long-term decision-making. A TCO analysis based on actual usage and cost data—rather than estimates—provides a much clearer picture of which vehicles are cost-effective and which are not. Reports based on real-time data provide management with verifiable metrics rather than rough estimates, thereby creating a more solid foundation for investment decisions.

Looking to the future, there is another aspect to consider: A solid data foundation is also a prerequisite for the effective use of AI-powered analytics in the fleet. Where the underlying data is incomplete or outdated, any analysis remains limited to what is actually available, regardless of how powerful the technology used is.