--> Fleet Management System | Optimize Fleet Operations | AutoPi
Fleet Management System

Engineering-grade fleet intelligence with visibility, control, and uptime

Build fleet integrations on vehicle data you have validated. Start with AutoPi Mini compatibility for supported EV and OBD parameters, CAN-FD Pro for J1939, CAN FD and data logging, or TMU CM4 for Docker and custom edge software.

The platform aggregates live data streams, normalizes events, and stores historical records for maintenance planning, asset protection, and operational analysis. Built in tools support geofencing, trip segmentation, alerts, and automated reports, while buffering, retry logic, and TLS encryption maintain data integrity when vehicles operate in noisy or low coverage environments.

Purchase PoC devices for representative vehicles. AutoPi then helps extract the required data, including reverse engineering where needed. Agree the signals, integration scope and acceptance criteria, then validate the data before expanding to the rest of the fleet.

Discuss a fleet PoC
AutoPi Fleet overview
Solution Highlight

Solve fleet visibility and control challenges

AutoPi unifies telematics, diagnostics, and operational data into one coherent system. Trip segmentation, geofence enforcement, and real time status and fault events are generated directly from devices, which enables predictable fleet oversight and data driven operational control across mixed ICE and EV fleets.

Different vehicles sending data to the cloud

Configure trip detection using available GNSS, ignition and motion data, and validate it on representative vehicles. Geofences support entry, exit and dwell-time monitoring. These are monitoring inputs, not an automatic route-planning engine. For Docker workloads and custom processing on the device, choose TMU CM4 and agree the application and integration requirements.

All telemetry is normalized and transmitted to a dedicated cloud environment using TLS secured channels and device certificates. Buffered uploads ensure no loss of CAN or OBD, GPS, or fault data when coverage is poor. Historical records, event logs, and configuration changes are stored with timestamps and device identity so that audits, investigations, and long term operational analysis can be performed on accurate and traceable data.

The Fleet and Device Overviews surface real time operational health, including online status, sensor values, active fault codes, last seen location, and recent trip activity. Maintenance workflows benefit from direct access to trouble code alerts, mileage counters, and high resolution vehicle data that is already grouped by vehicle, asset type, and time period. Geofencing insights provide load zone monitoring, route optimization input, and security signals such as out of hours operation or movement outside configured regions.

With Device Alerts, OTA software updates, Global Variables, User and Role controls, and a built in Web Terminal for secure remote commands, AutoPi forms an extensible operational environment. Teams can integrate OBD libraries, templates, and custom data endpoints to align the system with existing workflows so that the collected data is used to improve uptime, safety, and decision making across the entire fleet.

Related Features

Drive efficiency across your fleet

AutoPi delivers the core telematics functions required for modern fleet operations, such as real time visibility, cost control, and predictive maintenance, built on high resolution data from vehicle networks and GNSS. These features integrate directly with AutoPi Cloud or your own systems through documented APIs and streaming interfaces.

Navigation and vehicle security icon
Real-time navigation and vehicle security

Combine GNSS, motion data, and ignition state to track asset movement with high temporal resolution. Receive geofence entry and exit events, unauthorized use alerts, and route deviation signals in real time. Precise positioning together with configurable event rules supports safer operation, better dispatching, and effective theft prevention across the fleet.

Fuel savings icon
Maximize fuel and energy efficiency

Leverage CAN and OBD data, fuel flow, engine load, RPM, EV battery metrics, and idle patterns to identify waste and optimize driving behavior. Combine trip segmentation with utilization metrics to reduce unnecessary engine hours, improve routing, and lower total energy consumption for both ICE and EV fleets.

Maintenance icon
Data-informed maintenance planning

Monitor vehicle health through fault codes, temperature data, battery state, and usage patterns. Automated alerts surface emerging issues, while historical logs support service scheduling and root cause analysis. Use these insights to reduce unplanned downtime and maintenance cost and to document the history of critical components over their lifetime.

Products

Cut costs and boost fleet productivity

AutoPi provides an integrated hardware and software stack for fleet operators who need real time visibility, operational consistency, and predictable vehicle performance. Capture high resolution data at the vehicle, manage devices centrally, and feed fleet metrics directly into existing planning and maintenance systems.

AutoPi Mini with plug-and-play icon

Mini for supported EV and OBD data

The AutoPi Mini is the starting point for supported EV and OBD fleet parameters. Check make, model, year, available signals and regional connectivity before ordering. For J1939, CAN FD or vehicle-bus data logging, evaluate CAN-FD Pro. For Docker and custom edge software, evaluate TMU CM4.

Check AutoPi Mini compatibility
AutoPi Cloud interface across devices

Centralized fleet intelligence

AutoPi Cloud consolidates telemetry, diagnostics, and operational data from every connected vehicle. Use built in dashboards for fleet overview, trip logs, alerts, and maintenance signals, or integrate the same data streams through REST, MQTT, and webhooks into ERP, dispatch, or maintenance platforms. With OTA updates, parser management, user roles, and device health monitoring, AutoPi Cloud delivers predictable and scalable control over fleets of any size.

AutoPi Cloud
Why AutoPi?

Inspiring industry innovators: our role in
your success

AutoPi delivers the flexibility engineering teams need to build reliable, data driven fleet solutions. Hardware provides transparent access to vehicle networks, and the cloud platform manages device health, updates, configuration, and telemetry at scale. Whether you focus on improving fleet efficiency, developing custom applications, or integrating with existing enterprise systems, AutoPi offers a stable foundation that reduces integration complexity and shortens deployment cycles. From prototyping to full scale rollout, the platform supports your ability to turn fleet data into actionable and verifiable operational insight.

driving car with a widget showing vehicle data
Something unclear?

Frequently asked questions

A fleet management system is the combined hardware, connectivity, and backend software used to acquire, process, and act on vehicle data at scale. It typically includes in vehicle telematics units, a secure communication layer such as 4G or LTE, WiFi, or Ethernet, and a cloud or on premises platform for trip logs, alerts, maintenance, geofencing, and integration with other business systems.

AutoPi devices, such as AutoPi Mini or TMU CM4, connect to the vehicle via OBD-II or CAN and stream GNSS, trip, and diagnostic data over encrypted channels to AutoPi Cloud or your own backend. The platform handles trip segmentation, geofencing, alerts, and historical storage. APIs, MQTT, and webhooks then expose the same data to operational, planning, and analytics systems.

Check AutoPi Mini compatibility for supported EV and OBD parameters. Choose CAN-FD Pro for J1939, CAN FD and vehicle-bus data logging, or TMU CM4 for Docker and custom edge software. Confirm vehicle power, connectors, adapters, signal availability and any required external sensors before ordering. Software and management capabilities vary by device.

Yes. Devices can publish data directly to your own backend through MQTT, REST, or custom endpoints. AutoPi Cloud adds hosted provisioning, OTA updates, configuration management, dashboards, and device monitoring. Many projects start with AutoPi Cloud and later extend with or migrate to self hosted components where required by policy or architecture.

AutoPi captures CAN and OBD parameters such as fuel flow, engine load, idle time, and EV energy metrics, and links them to trips, routes, and drivers. This makes it possible to identify inefficient driving, excessive idling, and unnecessary detours. Combined with geofencing and trip analytics, the same data supports targeted actions that lower fuel and energy consumption.

AutoPi reads diagnostic trouble codes, mileage, and other health indicators from the vehicle and turns them into alerts, dashboards, and reports. Historical fault and usage data helps plan servicing, while real time alerts highlight emerging issues. This reduces unplanned downtime and provides traceability for maintenance decisions and warranty discussions.

Yes. AutoPi is used in mixed ICE and EV fleets and can expose EV specific parameters such as state of charge, battery temperature, charging power, and range indicators where supported by the vehicle. This data feeds into the same trip, utilization, and maintenance views as ICE vehicles and provides a unified picture of fleet performance.

Communication between devices and backend services is encrypted using TLS and device bound credentials. Access to dashboards, APIs, and management functions is controlled by user roles and permissions. Data ownership and retention are governed by your commercial agreement and configuration, with options for export or integration into your own storage and analytics stack so that you retain control of the underlying fleet data.

Yes. AutoPi exposes REST APIs, MQTT topics, and webhooks to push or pull fleet data into third party systems such as ERP, transport management systems, CMMS, or custom portals. Typical integrations include feeding trip and utilization data into planning tools and sending fault and mileage data into maintenance and ticketing systems.

Purchase PoC devices for representative vehicles after confirming hardware and installation requirements. AutoPi then helps extract the required data, including reverse engineering where needed. Agree the scope, target signals, integration and acceptance criteria. Validate data quality, storage and retention limits before deciding on rollout; custom development is scoped separately from standard device capabilities.

// your proof of concept

Build a PoC for Fleet Management System

Let's find the right hardware for your vehicles, validate the data you need and plan the integration together.

Choose by integration requirements

// fleet data

AutoPi Mini

Verify supported EV/OBD vehicles and parameters for standard fleet data.

Explore Mini

// vehicle-bus logging

AutoPi CAN-FD Pro

Evaluate J1939, CAN FD and vehicle-bus data logging.

Explore CAN-FD Pro

// custom edge software

AutoPi TMU CM4

Develop Docker workloads and custom edge software.

Explore TMU CM4

Confirm vehicle power, connectors, adapters and any required external sensors. An accessible connector does not guarantee that every requested signal is available.

Compare device capabilities

// project scope

Separate standard capabilities from project work

Included
The selected device's documented hardware and standard software capabilities. Confirm supplied accessories and Cloud access terms for your order.
Configure
Supported signals, sampling, trip and geofence rules, data delivery and retention for the selected device and platform.
Custom development
Proprietary signal decoding, custom applications, external sensor integration and ERP/TMS workflows require an agreed scope.

// from testing to rollout

Explore what's possible on your vehicles

AutoPi vehicle data devices

We'll help you choose devices to purchase for representative vehicles, then work with you to extract the data you need, including reverse engineering where needed. Together, we'll agree the scope and acceptance criteria, validate the captured signals and integration, then decide on rollout.

Discuss your PoC
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