Objectives of the service
The Orion Fleet Metrics service automatically processes GNSS and sensor data to detect refueling and recharging events, calculate energy efficiency, and monitor emissions. The results are presented in interactive dashboards with analytics and ESG reporting capabilities.
The solution is implemented as a cloud-based SaaS platform with an API, modular architecture, and high scalability. The product will be commercially integrated into the existing Orion GNSS ecosystem and offered to Czech and European customers after the project’s completion. The system supports various consumption sensors, including OEM and third-party devices.
The project aims to develop a scalable platform that enables fleet operators to improve vehicle utilization, optimize routes, reduce emissions, and support sustainable and efficient fleet management.
Users and their needs
The key customer segments targeted by the Orion Fleet Metrics product are:
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Operators of mixed-fuel vehicle fleets
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Logistics and last-mile delivery providers
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Corporate mobility service platforms
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Fleet leasing or rental companies
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Taxi and ride-hailing services
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Utility and field service providers
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Public sector fleet operators
Service/ system concept
Orion FleetMetrics is a cloud-based analytics service built on the existing Orion GNSS platform for fleet monitoring and telematics. The system collects GNSS positioning data and vehicle sensor data, including fuel consumption, EV charging events and other operational parameters, through vehicle-installed GNSS devices and sensor hubs.
Vehicle data is transmitted via GSM/LTE communication networks to the Orion Fleet Metrics core platform, where it is validated, normalized and processed. The platform integrates additional data sources such as OEM vehicle data and external geospatial datasets where available.
A modular analytics engine processes the collected data and calculates trip-level energy consumption, operational efficiency indicators, emissions estimates and cost metrics across multiple vehicle powertrain types including combustion, hybrid and electric vehicles.
Processed information is stored within a scalable cloud data infrastructure and delivered to users via web-based dashboards and application programming interfaces (APIs). Fleet managers can access real-time and historical analytics including vehicle utilization, fuel and electricity costs, route-level consumption analysis and automated detection of refueling or charging events.
The service architecture is designed as a scalable SaaS solution with APIs, enabling integration with third-party fleet management systems and enterprise software platforms.
Space Added Value
The Orion FleetMetrics service relies on satellite navigation (GNSS) as a key enabling technology for accurate vehicle positioning and trip tracking across large geographical areas. GNSS data collected from vehicle-installed devices provides continuous and precise information about vehicle location, movement patterns and trip characteristics.
This positioning information is combined with vehicle sensor data and processed within the Orion Fleet Metrics analytics platform to detect operational events such as refueling and electric vehicle charging, calculate trip-level energy consumption and estimate emissions.
The use of satellite navigation provides several advantages compared to conventional fleet monitoring approaches that rely solely on manual reporting, fuel card records or vehicle odometer data. GNSS-based tracking enables automated and location-aware detection of operational events, more precise distance and route analysis and consistent monitoring across mixed fleets and different vehicle types.
By combining GNSS positioning with sensor integration and cloud-based analytics, the service delivers more reliable and detailed insights into fleet energy usage and operational efficiency. This enables fleet operators to improve cost control, optimize vehicle utilization and support environmental reporting and ESG compliance.
Current Status
During April 2026, the Orion Fleet Metrics project progressed from the initial analysis stage to the completion of the main design outputs required for the next milestone. The project team prepared the Requirements Document, the main parts of the Solution Blueprint was completed, such as data model, functional design of artifacts and UX design of related UI. The project backlog for development was created and broken down into user stories.
At the same time, the technical design activities were completed to a level sufficient for the start of development, including the preparation of the System and Service Architecture (SSA), while allowing for further refinements during the implementation phase. In parallel, the environment preparation was completed, including the basis for the required system components for the solution. These results provide the technical basis for the start of the development phase and support the overall readiness of the project for the next stage. At the same time, they create a solid foundation for the upcoming Baseline Design Review (BDR), planned for 15 May 2026.
