Fleet Management System

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

AutoPi combines embedded telematics hardware with a cloud management platform to deliver a unified, engineering-focused foundation for managing mixed ICE and EV fleets. Devices acquire vehicle position, utilization, fault states, and CAN or OBD-II data directly from the vehicle networks, which provides high resolution insight into day to day operation instead of aggregated or delayed reports.

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.

Fleet metrics integrate into existing ERP, dispatch, or maintenance systems through REST, MQTT, and webhooks, or can be consumed directly through the AutoPi interface. With OTA updates, configurable event rules, and device level observability, AutoPi scales from pilot deployments to large heterogeneous fleets that require predictable performance, controlled change management, and full operational transparency.

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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

AutoPi records every trip automatically using GNSS, ignition state, and motion data, which produces accurate distance, duration, and utilization metrics without driver input. Geofence rules trigger entry and exit events, operating zone violations, and dwell time analytics, enabling asset protection, SLA tracking, and route compliance. Docker support on the backend allows teams to deploy custom processing pipelines next to the built in fleet tooling for use cases such as advanced analytics or system integration.

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.

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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.

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Predictive and proactive maintenance

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

Total fleet connectivity

The AutoPi Mini is a plug and play OBD telematics unit built for fast deployment across diverse fleets. It provides global 4G or LTE, GNSS, and direct OBD-II data access for capturing trip events, vehicle health, energy use, and location. The Mini is suitable for large scale rollouts and offers secure communication, reliable buffering during poor coverage, and straightforward integration with AutoPi Cloud or custom backend systems.

AutoPi Mini
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.

For plug and play OBD deployments and large fleets, AutoPi Mini is usually the first choice. For more advanced use cases such as multi bus CAN, custom edge logic, or OEM specific integrations, TMU CM4 or CAN FD based hardware is preferred. All devices integrate with AutoPi Cloud using the same management and telemetry model so that mixed hardware setups can be managed consistently.

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.

A typical pilot starts with a small number of AutoPi devices installed in representative vehicles, an AutoPi Cloud account or backend integration endpoint, and a set of KPIs such as uptime, fuel or energy use, utilization, or safety. From there you configure trips, geofences, and alerts, validate the data against real operation, and then scale to more vehicles once the setup matches your processes and reporting requirements.

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