We need software for managing mixed autonomous, electric, and human-driven fleets. What options exist?

Managing a mixed fleet of autonomous vehicles (AVs), electric vehicles (EVs), and human-driven assets requires specialized Fleet Orchestration Platforms (FOPs) . Traditional telematics systems cannot handle the real-time exception handling of AVs, the charge-management needs of EVs, and the behavioral tracking of human drivers simultaneously.

The top enterprise software options built specifically to manage this exact type of multi-domain hybrid fleet are detailed below.

1. Dedicated Mixed-Fleet Orchestration Platforms

These platforms are engineered from the ground up to orchestrate mixed human, electric, and driverless assets.

• ZF SCALAR : This platform provides AI-based automated decision-making specifically for mixed fleets of autonomous, electrified, and human-driven vehicles. It features dedicated dashboards for electric vehicles—including battery health management—while offering track-and-trace, dispatching, and routing optimized for both human and AV operations on a single screen.
• Autofleet : Autofleet is a leading cloud platform for AV operations. It acts as a single pane of glass across any AV OEM, tracking real-time sensor data, telematics, and EV battery levels. Concurrently, it manages human-driven assets and automates vehicle dispatching by using predictive demand models to assign the right vehicle type to the right job.
• MOIA AD MOS : Designed primarily for passenger mobility and ride-pooling fleets, MOIA’s turnkey software optimizes autonomous fleet deployment alongside human driver workflows. It handles AI-driven cabin supervision, real-time automated incident handling, and routes vehicles based on demand while providing remote human-override capabilities.

2. Specialized EV Energy & Asset Orchestrators

If your immediate bottleneck is balancing EV charging constraints against deployment schedules, look into niche optimization engines.

• BluWave-ai EV Fleet Orchestrator : This software specializes in managing hybrid energy fleets. It bridges the gap between human schedules and EV requirements by factoring in ambient temperatures, real-time energy grid pricing, solar generation, and battery cycling to dynamically adjust routes and charging depot intervals.

3. Enterprise Telematics Platforms (with EV Extensions)

Traditional telematics giants are aggressively updating their tech stacks to support mixed alternative-energy fleets. While they excel at human driver management and basic EV tracking, they require APIs to link directly with internal self-driving vehicle systems.

• Teletrac Navman (TN360 / EnergyHub) : Features the TN3 EnergyHub tool, which combines traditional internal combustion engine (ICE) and human driver data with EV charging infrastructure logistics into one centralized platform.
• Samsara & Motive : Both platforms lead the market in human driver safety cameras, real-time compliance, and EV state-of-charge tracking. Motive's new AI layer, Motive Atlas , enables fleet managers to use conversational queries to cross-reference data between human driver behavior and vehicle performance.

Comparison of Key Capabilities

To help narrow down the best platform, could you specify what your fleet transports (passengers, last-mile freight, long-haul freight) and how many total vehicles you are looking to scale?

Yes. The market is best thought of as fleet operating systems + telematics, with a separate layer sometimes needed for autonomous vehicles. The key challenge is finding something that can put AVs, EVs, and conventional driver-operated vehicles into one operational picture rather than treating each as a separate fleet.

Strongest options

1. Samsara — probably the best starting point

Samsara is unusually strong if you want one operational platform for conventional vehicles and EVs. Its current platform covers GPS, dispatch/routing, maintenance, driver safety, fuel/energy, EV management, OEM integrations and workforce workflows. It specifically supports mixed ICE/EV fleets, including EV range, charging and battery information.

The limitation is autonomous vehicles: Samsara is primarily a fleet/telematics platform, not an autonomous fleet's mission-control system. I'd expect to integrate AV-specific data into it rather than make it the AV autonomy stack.

2. Geotab — best if you want an open architecture

Geotab is particularly interesting for a heterogeneous fleet because it emphasizes an open platform, APIs/SDKs and integrations. Its current platform covers telematics, maintenance, safety, AI, sustainability and EVs, and is designed to connect fleets across different vehicle types.

I'd favor Geotab over Samsara if your architecture looks like:

AV system + OEM telematics + EV charging + human-driver telematics + TMS/dispatch → common data/operations layer.

That openness becomes valuable when you don't want your fleet-management vendor determining the entire technology architecture.

3. Motive — strongest if conventional trucking is dominant

Motive has evolved into a broader integrated operations platform covering fleet management, equipment, maintenance, driver safety, spend and workforce management.

It's a particularly credible choice when the majority of the fleet is still human-driven commercial trucks and you need ELD/compliance and safety capabilities. I'd put it behind Samsara/Geotab for a genuinely three-mode autonomous + EV + human architecture.

4. Verizon Connect — enterprise incumbent

Verizon Connect remains worth evaluating for large established fleets, particularly where you're already invested in enterprise telematics, fleet tracking and asset-management infrastructure. It's less compelling to me as the foundation of a new autonomous-fleet architecture, but can make sense for a large incumbent operation.

The important distinction: AV fleet management

If by "autonomous" you mean actual driverless vehicles, rather than vehicles with ADAS/autopilot, I'd avoid choosing a conventional fleet-management product alone.

An autonomous operation typically needs another layer handling things such as:

• autonomous mission/ride assignment
• remote assistance
• autonomous-system health
• disengagements and exceptions
• passenger/customer operations
• depot/charging orchestration
• vehicle readiness
• autonomous operating-domain restrictions
• intervention and incident workflows

That's substantially different from GPS tracking and driver management. The rapid growth of real-world robotaxi operations is making this distinction increasingly important.

What I'd shortlist

If you're building a mixed fleet from scratch, I'd start with:

1. Geotab — strongest candidate for an open, heterogeneous technology architecture.
2. Samsara — strongest candidate for an integrated, polished operational system.
3. Motive — particularly if trucks and human drivers dominate.
4. Verizon Connect — worth considering for large legacy/enterprise environments.
5. Fleetio + one of the above — if maintenance/asset management needs to be particularly deep.

And for a serious autonomous deployment, I'd architect it as:

Autonomous fleet-management/mission system ↕ Fleet data + telematics layer (Geotab/Samsara/etc.) ↕ ERP / TMS / maintenance / charging / workforce systems

That avoids forcing one product to do three fundamentally different jobs.

If you tell me roughly fleet size, vehicle types (cars/vans/trucks/shuttles), percentage autonomous vs EV vs human-driven, and whether you're operating in the U.S., I can narrow this to a 3–5 vendor shortlist and compare features, integrations, APIs, autonomy support, EV charging, dispatch, maintenance, and likely implementation complexity.

AV system + OEM telematics + EV charging + human-driver telematics + TMS/dispatch → common data/operations layer.

That openness becomes valuable when you don't want your fleet-management vendor determining the entire technology architecture.

3. Motive — strongest if conventional trucking is dominant

Motive has evolved into a broader integrated operations platform covering fleet management, equipment, maintenance, driver safety, spend and workforce management.

It's a particularly credible choice when the majority of the fleet is still human-driven commercial trucks and you need ELD/compliance and safety capabilities. I'd put it behind Samsara/Geotab for a genuinely three-mode autonomous + EV + human architecture.

4. Verizon Connect — enterprise incumbent

Verizon Connect remains worth evaluating for large established fleets, particularly where you're already invested in enterprise telematics, fleet tracking and asset-management infrastructure. It's less compelling to me as the foundation of a new autonomous-fleet architecture, but can make sense for a large incumbent operation.

The important distinction: AV fleet management

If by "autonomous" you mean actual driverless vehicles, rather than vehicles with ADAS/autopilot, I'd avoid choosing a conventional fleet-management product alone.

An autonomous operation typically needs another layer handling things such as:

• autonomous mission/ride assignment
• remote assistance
• autonomous-system health
• disengagements and exceptions
• passenger/customer operations
• depot/charging orchestration
• vehicle readiness
• autonomous operating-domain restrictions
• intervention and incident workflows

That's substantially different from GPS tracking and driver management. The rapid growth of real-world robotaxi operations is making this distinction increasingly important.

What I'd shortlist

If you're building a mixed fleet from scratch, I'd start with:

Managing a mixed fleet that combines human-driven vehicles, electric vehicles (EVs) , and autonomous units (such as AGVs, AMRs, or autonomous-driving road vehicles) requires bridging traditional telematics with IoT and robotic orchestration frameworks.

Because fully unified "out-of-the-box" systems for all three modalities simultaneously are still emerging, solutions generally fall into three categories: enterprise telematics expanding into mixed/EV fleets, specialized robotics fleet management (FMS), or custom integration layers.

Top Enterprise Fleet & Mixed-Energy Platforms

If your human and electric fleets make up the bulk of operations on public roads or large campuses, major telematics providers have built out robust multi-fuel and EV tracking capabilities:

1. Geotab
   • Best for: Comprehensive mixed-energy (ICE and EV) road fleets with strong developer APIs.
   • Key Strengths: The Geotab EV Fleet Management suite aggregates data across hundreds of EV makes and models. Through an open architecture and software development kit (SDK), Geotab allows custom data streams to integrate with external systems, making it a strong candidate for plugging in third-party autonomous asset telemetry via the Geotab Marketplace.
2. Samsara
   • Best for: Unified operational visibility of mobile vehicles and industrial site equipment.
   • Key Strengths: Known for handling mixed commercial fleets (trucks, heavy equipment) alongside fixed site infrastructure. It provides real-time GPS, EV state-of-charge tracking, and safety workflows in a single dashboard, and is increasingly leveraging IoT features to monitor auxiliary and automated assets.
3. Fleet Complete
   • Best for: Small-to-midsize commercial operations transitioning to mixed electric/fuel fleets.
   • Key Strengths: Offers unified tracking for traditional and electric vehicle adoption, streamlining route planning, charging depot management, and driver behavior analytics for human personnel.

Autonomous & Robotic Fleet Management Systems (FMS)

If your "autonomous" component refers to indoor/industrial mobile robots (AMRs/AGVs) or controlled-site autonomous vehicles that need precise task delegation and traffic control:

1. Seirios FMS (by OzRobotics)
   • Best for: Industrial, construction, or campus-based robotic task delegation.
   • Key Strengths: Handles multi-robot fleet tracking with an advanced lane-drawing system, collision avoidance, and automated task distribution based on proximity and battery/availability status.
2. SyncOS Fleet Manager (or standard VDA 50/50 compliant FMS)
   • Best for: Multi-brand industrial automated guided vehicles (AGVs) and autonomous mobile robots (AMRs).
   • Key Strengths: Uses standardized frameworks like VDA 50/50 to orchestrate mixed-manufacturer robotic fleets, optimize charging cycles, and tie into Warehouse Management Systems (WMS).

EV Infrastructure & Depot Management

If a massive operational bottleneck is keeping both human-driven and autonomous electric vehicles charged and ready:

• ChargePoint Fleet Management
  • Best for: Mixed-fuel/EV depot charging optimization.
  • Key Strengths: Open Charge Point Protocol (OCPP) compliance allows it to manage diverse charging hardware across varied vehicle classes, helping schedule charging loads so human shifts and autonomous operations face zero downtime.

To help narrow down the best architecture for you, tell me:

• Are the autonomous vehicles operating on public roads, or in a closed industrial/warehouse environment?
• What is the approximate ratio of human-driven vs. electric vs. autonomous units?

Yes. The market is starting to split between traditional fleet-management platforms and newer fleet-orchestration / autonomous-operations platforms. If you genuinely need one system spanning human-driven + EV + autonomous vehicles, I’d shortlist these:

The most interesting options

ZF SCALAR is probably the first one I'd investigate for your exact requirement. ZF explicitly positions SCALAR as a fleet orchestration platform for human-driven, autonomous and mixed vehicles, with planning, routing, dispatch, tracking, maintenance notifications and AI-based decision-making. It is designed around the emerging combination of autonomous, connected and electric vehicles rather than treating autonomy as an afterthought.

Geotab is my choice if your priority is heterogeneous vehicle data. Its strength is the hardware/device ecosystem, integrations and analytics. It supports EV data and a large marketplace, making it attractive if you're going to have different vehicle OEMs, telematics systems and autonomous platforms feeding a common data layer.

Samsara is particularly strong for the human-operated portion of a mixed fleet: tracking, dispatch, safety, maintenance, cameras, compliance, fuel/energy and operational workflows. Its limitation for your use case is that autonomous-vehicle orchestration isn't its central product proposition.

ProShip is worth a closer look if you're talking about freight/logistics rather than passenger vehicles. It describes itself as a middleware/orchestration layer integrating TMS/WMS systems with autonomous operators and explicitly supports mixed autonomous and human-driven fleets.

Faction is more specialized: its platform is built around electric, driverless/lightweight vehicles, including fleet management, missions, telemetry and remote teleoperation. It's interesting if your fleet resembles delivery robots, autonomous shuttles or lightweight delivery vehicles.

What I'd recommend architecturally

If you're building a fleet that will gradually transition from human-driven → EV → autonomous, I wouldn't necessarily look for a single monolithic product.

A strong architecture is:

Fleet orchestration layer → assigns missions, vehicles and drivers/AVs

Telematics/data layer → GPS, CAN/vehicle data, battery/SOC, diagnostics, AV status

Dispatch/TMS layer → orders, routes, HOS, customer commitments

Maintenance/asset layer → inspections, work orders, parts, charging

Autonomous-vehicle interfaces → autonomy status, remote assistance, safety events, OTA, operational design domain

That makes ZF SCALAR particularly interesting as an orchestration candidate, while Geotab/Samsara can be strong data/telematics foundations.

One important distinction: “supports EVs” is relatively common; “can actually dispatch and operationally manage autonomous vehicles alongside human drivers” is much rarer. That's the criterion I'd use to eliminate most conventional fleet-management packages.

If you tell me fleet size, vehicle types (cars/vans/trucks/shuttles), autonomous platform(s), and whether this is freight, delivery, transit, or field service, I can narrow this to a 3–5 product shortlist and compare APIs, autonomy support, EV/charging, dispatch, maintenance, pricing, and integration architecture.

Yes. The market is starting to split into traditional fleet-management platforms adding EV capabilities and a smaller group explicitly targeting mixed human/autonomous fleet orchestration.

Strongest options

1. ZF SCALAR — probably the closest match

This is the most interesting option if your requirement is literally one operating layer for human-driven, electric and autonomous vehicles.

ZF describes SCALAR as a fleet-orchestration platform specifically supporting human-driven, autonomous, and mixed vehicles, with automated planning, routing, dispatch, track-and-trace, maintenance notifications and AI-based decision-making. It is designed for both passenger and freight operations.

Why I'd investigate it: autonomy isn't merely an integration afterthought; mixed fleets are part of the product's stated design.

2. Samsara — strongest general-purpose choice

Samsara is particularly compelling if most of the fleet is currently human-driven/EV but you expect autonomy to become significant later.

It handles GPS, diagnostics, dispatch/routing, maintenance, workforce management and safety, while its EV stack covers charging, battery health, range-aware routing and mixed ICE/EV/hybrid fleet management.

The catch: autonomous-vehicle orchestration isn't its core differentiator today. I'd treat it as a strong fleet-management foundation that could sit underneath/alongside an autonomy platform.

3. Geotab — strongest data/integration play

Geotab is worth serious consideration if you have lots of vehicle makes, autonomy vendors and other systems that need to feed a common data layer.

Its EV capabilities include real-time battery state of charge/health, charging and energy data across 300+ EV models, route suitability and EV replacement analysis.

Its advantage is less "autonomous fleet dispatcher" and more open telematics/data platform + ecosystem, which can be valuable if you're assembling a heterogeneous fleet architecture.

4. TruckMind — interesting autonomy-first entrant

TruckMind is explicitly positioning itself around the transition from human-driven to autonomous trucking. Its roadmap describes a common dispatch board for human and autonomous trucks, autonomy-ready dispatch APIs and real-time telemetry ingestion.

I'd consider this more of an emerging autonomy-native operating layer than a mature replacement for Samsara/Geotab today.

How I'd shortlist them

If your fleet looks like:

Today: 70% human + 30% EV
Transition: human + EV + autonomous vehicles
Eventually: substantial autonomous fleet

I'd evaluate:

1. ZF SCALAR — best conceptual fit for mixed autonomy.
2. Samsara — best mature all-around operational platform.
3. Geotab — best if interoperability/data architecture is paramount.
4. TruckMind — worth evaluating if you're specifically in autonomous trucking.

One important architectural point: don't necessarily look for one product to do everything. A future-proof stack may be:

Fleet orchestration → telematics/data layer → autonomy stack → charging/energy management → maintenance/CMMS

The key evaluation question is whether the platform can treat "driver = human / autonomous system" as a variable in dispatch, rather than assuming every vehicle has a human driver.

If you tell me fleet type (trucks, vans, robotaxis, campus vehicles, etc.), fleet size, and whether the autonomy is Level 4/5, I can narrow this to ~5 vendors and compare APIs, dispatch/orchestration, EV charging, autonomy integration, maintenance, pricing model, and deployment architecture.

Managing a mixed fleet containing autonomous assets (AMRs, AGVs, or AVs), electric vehicles (EVs), and human-driven legacy vehicles requires a platform that bridges traditional telematics with robotic orchestration and energy management.

Options exist across different tiers—ranging from specialized autonomous/robotic orchestrators to macro enterprise telematics expanding into mixed-energy and automated operations.

1. Dedicated Autonomous & Mixed-Fleet Orchestrators

These platforms were built natively for automated or driverless environments and handle mixed traffic rules, right-of-way logic, and remote teleoperation.

• Autofleet — Provides an AI-powered platform designed for mixed fleets (on-demand or fixed-route cars, shuttles, and autonomous units), handling demand prediction, dispatch, and operational control. More information is available on the Autofleet Platform.
• Cyngn Insight — Offers an Autonomous Vehicle Fleet Management System (FMS) capable of tracking mixed workflows, batch-uploading missions, and triggering automatic commands (like return-to-charge or safe fallback during network drops) for both autonomous industrial vehicles and standard operations. Details can be reviewed via Cyngn Insight.
• Autonomous Solutions Inc. (ASI) Mobius — Specifically designed to handle mixed fleets of manned and unmanned vehicles, featuring safety tracking where autonomous units yield to or pause around human-driven assets and tracked personnel. Look into their approach at ASI Robots.
• Carteav — Combines centralized control for environments operating indoor/outdoor mixed low-speed mobility, focusing on dynamic AI routing, shared spaces, and predictive energy efficiency. Learn more on the Carteav Ecosystem.

2. Industrial Intralogistics & Universal Robot Managers (AGV/AMR + Human)

If your "autonomous" portion consists of warehouse or yard robots working alongside human-driven forklifts and manual transport, look to universal industrial fleet controllers supporting standards like VDA 5050.

• BlueBotics ANT server — A hardware-agnostic mission and fleet management software that handles multi-brand and VDA 5050-compliant interoperability for automated guided vehicles alongside manual tracking features. Explore specs at BlueBotics.
• Kinexon Fleet Manager — Offers centralized map management, digital-twin tracking, and open APIs to coordinate automated transport orders alongside manual shop-floor equipment and personnel. Check out KINEXON Fleet Manager.
• Navitec Systems Universal Fleet Control — Focuses on universal interoperability for mixed fleets, offering manual vehicle tracking (RTLS) for human-driven forklifts and pedestrians alongside dynamic re-routing and right-of-way rules for automated bots. Read about it at Navitec Systems.

3. Enterprise Telematics with EV & Automation Readiness

If your core is a massive on-road human and electric fleet that is transitioning toward partial automation (ADAS) and smart charging depots, macro telematics platforms are building out these modules:

• Samsara — A major connected operations platform utilizing advanced AI and data analytics to streamline automated workflows, safety tracking, and mixed-asset visibility. More details on Samsara.
• Geotab — Provides deep telematics, predictive insights, and EV adoption tools designed to help traditional operations scale safely into mixed-energy and autonomous-ready environments. Visit Geotab.
• Motive — Integrates AI-powered dashcams, real-time GPS, and automated compliance tracking, shifting its telematics framework toward real-time optimization for automated logistics. Learn more at Motive.

To help narrow down the right platform, tell me:

• What is the primary environment (e.g., closed industrial warehouse/yard vs. open public roadways)?
• What percentage of the fleet is autonomous vs. electric vs. human-driven?

Yes. The market is splitting into traditional fleet-management platforms and a newer layer of autonomous/mixed-fleet orchestration. If you truly need autonomous vehicles, EVs, and human-driven vehicles in one operating model, I would not evaluate ordinary GPS/telematics software alone.

Strongest options to investigate

My shortlist

1. ZF SCALAR — closest to your description.
ZF explicitly positions SCALAR as a Fleet Orchestration Platform for human-driven, autonomous and mixed vehicles, with automated decision-making for people/goods transportation. That's considerably closer to your requirement than a conventional telematics product.

2. Geotab — best "open platform" foundation.
I'd look closely at Geotab if you expect multiple vehicle manufacturers, autonomy providers, and other systems. Its ecosystem/open architecture is a major advantage, and it supports EV, maintenance, compliance and custom integrations.

3. Samsara — best conventional fleet platform if autonomy is coming rather than already dominant.
Samsara is particularly strong for mixed ICE/EV operations: EV suitability, charging, battery health, routing, dispatch, fuel/energy and ordinary fleet telematics are all integrated.

4. ASI Mobius — worth serious attention for industrial/off-road autonomy.
If by "autonomous" you mean autonomous trucks, yard vehicles, mining/construction equipment, agricultural equipment, etc., rather than robotaxis, this is a different category. ASI specifically targets heterogeneous autonomous and manually operated vehicles and says it can integrate with existing fleet-management systems.

One important architectural distinction

I'd structure the evaluation around three layers, rather than assuming one product has to do everything:

Fleet system of record → vehicles, drivers, maintenance, compliance, costs, energy

Fleet orchestration → which vehicle gets which job, autonomous-vs-human assignment, routing, availability, charging, HOS, depot operations

Vehicle/autonomy systems → AV stack, remote assistance, perception, vehicle control, safety systems

That's important because the autonomous-vehicle world is still fragmented. For example, current AV operations increasingly require specialized command/orchestration layers rather than simply adding an "autonomous" checkbox to conventional fleet software. Recent deployments also show how different the operational and safety requirements are for true driverless vehicles.

If you're building a commercial fleet, rather than an industrial robot fleet, my initial RFP shortlist would be ZF SCALAR + Geotab + Samsara, with ASI or an autonomy-specific orchestration layer added depending on what kind of autonomous vehicles you're operating.

If you tell me what kind of vehicles/fleet you have (e.g. delivery vans, trucks, yard tractors, robotaxis, campus shuttles, construction equipment) and approximate fleet size, I can narrow this to 5–7 vendors and compare dispatch, autonomy, EV/charging, telematics, maintenance, APIs, remote operations, and pricing model.

Managing a mixed fleet that combines autonomous vehicles (AVs), electric vehicles (EVs), and human-driven/combustion assets requires bridging traditional telematics with advanced energy and robotic orchestration . Because most legacy platforms focus solely on gas or human-driven fleets, modern operations usually look to unified platforms or modular enterprise stacks.

Options and categories of software capable of handling these complex, multi-modal environments include:

• Unified Enterprise Telematics Platforms (EV + Human/ICE + AV Integration)
  • Samsara : Offers comprehensive fleet telematics that blend internal combustion engines (ICE), hybrid, and electric vehicles into a single dashboard. Its Fuel & Energy Hub tracks energy/fuel consumption side-by-side, and features like Charge Control manage EV charging profiles. Samsara also integrates API data streams from emerging commercial autonomous vehicle ecosystems.
  • Geotab : Renowned for deep OEM data integration and extensive marketplace add-ons. Geotab handles mixed-fuel/EV tracking (State-of-Charge, battery health, and charging events) while supporting open APIs that allow companies to plug in autonomous tracking layers and custom dispatch algorithms for human and robotic drivers alike.
  • Webfleet (Bridgestone): Provides robust mixed-fleet telematics with specialized EV management features (monitoring battery levels, remaining driving range maps, and charging alerts) alongside standard driver behavior and tracking for human-operated vehicles.
• Autonomous-Centric & AI Dispatch Platforms
  • Autofleet : An AI-powered platform specifically built to manage mixed operations, including autonomous vehicles, shuttles, and human-driven fleets. It handles on-demand or fixed-route dispatch, predictive demand, and optimization engines that factor in both driver shifts and EV/AV constraints.
  • Autonomous Solutions Inc. (ASI) / Mach Nexus : Focused heavily on off-road, industrial, agricultural, and heavy-duty mixed fleets (manned and unmanned tractors, loaders, and industrial machines). Their platform coordinates machine-to-machine communication and remote safety override parameters between human workers and autonomous assets.
• Specialized EV & Energy Management Add-ons (Often integrated via API)
  • Synop : Dedicated commercial EV fleet and charge management software that integrates with existing telematics systems to provide unified scheduling, energy tracking, and depot power optimization.
  • Driivz : Offers end-to-end EV depot management, smart charging algorithms, and operational visibility that can sit alongside broader enterprise resource planning (ERP) tools.

To help narrow down the best platform architecture, could you share:

• The primary industry (e.g., last-mile delivery, campus/port transit, warehouse intralogistics, or long-haul trucking)?
• The proportion of autonomous vs. electric vs. human-driven assets in your current or planned rollout?

Software for managing mixed autonomous, electric, and human-driven fleets is an emerging category because traditional fleet management systems (GPS, maintenance, driver compliance) were not designed for autonomous vehicles, charging orchestration, remote supervision, and human/robot task allocation. Options generally fall into a few groups:

Notable platforms

SCALAR

Designed specifically around the transition to ACE (Autonomous, Connected, Electric) fleets. It supports planning, routing, dispatching, tracking, and decision automation across human-driven and autonomous vehicles.

Good fit:

• Logistics fleets
• Mixed truck/van fleets
• Future autonomous delivery operations

Fleetweaver

Focuses on an orchestration layer connecting autonomous vehicles, OEMs, mobility platforms, charging, and maintenance systems.

Good fit:

• Building an autonomous mobility ecosystem
• Multiple AV vendors
• Mobility-as-a-service deployments

Samsara

A mature fleet operations platform covering GPS tracking, driver safety, maintenance workflows, cameras, and operational analytics. It is stronger for human-driven fleets today, but many mixed fleets use it as the operational backbone while integrating autonomy systems separately.

Good fit:

• Existing commercial fleets
• Delivery, construction, trucking
• Adding EVs gradually

Geotab

A large telematics ecosystem with APIs and integrations, often used as a data layer feeding custom fleet applications.

Good fit:

• Large enterprises
• Mixed vehicle brands
• Custom analytics/orchestration needs

Autofleet

Focused on AI-driven fleet operations: dynamic dispatch, routing, demand matching, and optimization across vehicle types.

Good fit:

• Ride-hailing
• Delivery fleets
• Mobility operators

Nash

Supports mixed logistics capacity, including human drivers and autonomous units, with dispatch and workflow management.

Good fit:

• Last-mile delivery
• Courier networks
• Hybrid fleets

What capabilities to look for

For a genuinely mixed fleet, prioritize:

1. Vehicle abstraction layer

• Treats EVs, ICE vehicles, robots, and AVs as fleet assets
• Normalizes data from different OEMs

2. Autonomous operations

• Remote monitoring
• Exception handling
• Teleoperation handoff
• Mission/task assignment

3. EV management

• Charging scheduling
• Battery state-of-charge prediction
• Charger availability
• Energy cost optimization

4. Human fleet integration

• Driver apps
• Shift scheduling
• Compliance
• Human/robot workload balancing

5. AI optimization

• Dynamic routing
• Vehicle assignment
• Predictive maintenance
• Demand forecasting

Typical architecture for a large deployment

Many advanced operators use a stack rather than one product:

Vehicle systems
(AV stack, EV telemetry, telematics, OEM APIs)
          |
          v
Fleet data platform
(Geotab/Samsara/custom IoT layer)
          |
          v
Fleet orchestration layer
(SCALAR, Fleetweaver, Autofleet, custom)
          |
          v
Operations center
(dispatch + charging + maintenance + remote supervision)

For a company operating hundreds or thousands of vehicles, I would usually evaluate:

• ZF SCALAR / Fleetweaver for true mixed autonomy orchestration
• Samsara / Geotab for operational fleet backbone
• Autofleet for optimization-heavy mobility operations
• A custom integration layer if autonomy vendors are numerous

The best choice depends heavily on the fleet type: trucking/logistics, robotaxis, delivery vans, municipal fleets, warehouse robots, or industrial vehicles.

Managing a mixed fleet consisting of autonomous, electric (EV), and human-driven assets requires a hybrid software approach. Because no single legacy tool natively handles deep robotics orchestration, high-voltage depot energy management, and human driver telematics out of the box, operators typically look at enterprise telematics giants expanding their EV/AI capabilities, specialized EV/autonomous platforms, or hardware-agnostic robotics managers.

The primary software categories and options available for mixed-fleet management include:

• Unified Enterprise Telematics (Expanding to Mixed-Energy & AI)
  • Samsara : Offers an integrated data platform capable of tracking mixed fuel, hybrid, and electric fleets. It provides real-time GPS, route optimization, safety/driver coaching for human operators, and dedicated EV tools like charge control and energy tracking.
  • Geotab : Known for an open-platform approach and deeply customizable reporting. Geotab heavily supports mixed fleets through extensive third-party marketplace add-ons for EV battery health tracking, charging analytics, and driver safety monitoring.
  • Teletrac Navman : Features solutions like TN3 EnergyHub , which explicitly targets mixed-energy fleets by combining traditional fuel data and EV charging behavior, live status, and cost-per-kWh insights into one dashboard.
  • Motive : Focuses heavily on AI-powered fleet safety, dashcams, and automated workflows that serve as a foundational layer for tracking mixed human and automated/semi-autonomous road transport.
• Specialized Autonomous & Robotic Orchestration Platforms
  • Autofleet : An AI-powered, customizable ride-management and dispatch platform designed specifically for mixed autonomous and human-operated vehicle services (cars, shuttles, and on-demand delivery fleets).
  • Formant / BlueBotics (ANT server) : If your autonomous assets are industrial, yard robots, AGVs, or AMRs, platforms like BlueBotics or Formant act as the central intelligence, handling multi-vendor robot traffic coordination, mission dispatching, and safety mapping alongside manual asset tracking.
  • Cyngn (Insight) : Provides an Autonomous Vehicle Fleet Management System (FMS) designed to command and monitor industrial autonomous vehicles, view key metrics, and batch-upload workflows or remote teleoperation commands.
• Dedicated EV Charging & Depot Energy Management
  • Synop / Ampcontrol : If the main friction point of your mixed fleet is charging logistics, these platforms specialize in smart depot charging, real-time state-of-charge (SOC) monitoring, and utility load balancing, integrating smoothly via API with primary telematics software.

To help narrow down the ideal software stack, could you share:

• The operating environment (e.g., public roads/logistics vs. a closed industrial yard/warehouse)?
• The asset breakdown (e.g., primarily heavy-duty electric trucks with a few autonomous bots, or robotaxis alongside human drivers)?