Case study: EV fleet management & commercial electrification — a startup-to-enterprise scale story

When Derive Systems (now Zūm) launched its first fleet electrification pilot in 2018 with a school district operating 12 electric buses, it managed routing and charging through a single dashboard built by three engineers. By 2025, the company managed over 10,000 electric vehicles across 85 fleet operators in North America, processing 2.3 million charging sessions per month and saving its customers an estimated $47 million annually in fuel and maintenance costs. That trajectory from a small pilot to enterprise-scale fleet management platform illustrates both the enormous opportunity in commercial EV fleet management and the operational, financial, and technical obstacles that most startups in this space never overcome.

Why It Matters

Commercial fleets account for approximately 30% of all transportation-related greenhouse gas emissions in the United States, despite representing only 4% of registered vehicles (US EPA, 2025). The economics of fleet electrification are increasingly compelling: BloombergNEF's 2025 Electric Vehicle Outlook estimates that the total cost of ownership for Class 3 through Class 6 commercial EVs reached parity with diesel equivalents in 2024, and Class 7 and Class 8 vehicles are projected to reach parity by 2027. Yet adoption lags significantly behind economic feasibility. Only 2.1% of medium- and heavy-duty commercial vehicles registered in the US in 2025 were battery electric, according to ACT Research.

The gap between economic readiness and adoption represents a market failure driven largely by operational complexity. Fleet operators cannot simply swap diesel vehicles for electric ones. They must simultaneously redesign routes, install and manage charging infrastructure, negotiate utility interconnections, restructure maintenance programs, retrain drivers, and integrate new telematics and energy management systems. This complexity creates the opportunity for fleet management platforms that can orchestrate the entire transition, and it explains why the companies that succeed in this space tend to be software-first businesses that treat vehicles, chargers, and energy systems as integrated systems rather than standalone components.

The Starting Point: Finding Product-Market Fit

The company that became Zūm initially focused on connected vehicle telematics for internal combustion engine (ICE) fleets, offering fuel efficiency optimization through engine calibration software. The pivot toward electrification began in 2017 when the founders recognized that EV fleets would require fundamentally different management tools than ICE fleets. Rather than simply monitoring vehicles, an EV fleet platform needed to actively manage the interplay between vehicle state of charge, route requirements, charging infrastructure capacity, electricity rates, and grid constraints.

The first pilot with Oakland Unified School District in 2018 validated two critical hypotheses. First, school districts and municipal agencies represented an ideal beachhead market because they operated fixed-route, return-to-depot fleets with predictable duty cycles, making electrification planning relatively straightforward. Second, the primary value proposition was not the vehicles themselves but the orchestration layer: software that determined which vehicles to charge, when, at what rate, and on which routes, to minimize electricity costs while ensuring every bus was ready for service at departure time.

The pilot demonstrated a 62% reduction in energy costs compared to diesel operations and a 31% reduction in unscheduled maintenance events. These results attracted the attention of larger school transportation providers, leading to a $14 million Series A round led by Breakthrough Energy Ventures in 2019.

Scaling Challenges: From 12 Vehicles to 1,000

The transition from a single-depot pilot to multi-site operations exposed three categories of scaling challenges that required fundamental changes to the platform architecture and business model.

Charging Infrastructure Complexity

At the 12-vehicle pilot scale, depot charging infrastructure was simple: twelve Level 2 chargers connected to a single electrical panel with sufficient spare capacity. At 100 or more vehicles per depot, power demand exceeded available utility service capacity at most existing facilities. The company discovered that 73% of prospective depot locations required utility service upgrades ranging from $200,000 to $2.5 million, with lead times of 12 to 36 months for transformer installations and new service connections.

The platform evolved to include a site assessment module that modeled electrical capacity, identified optimal charger placement, estimated upgrade costs, and generated utility interconnection applications. This capability reduced site preparation timelines by an average of 4.5 months and decreased infrastructure cost overruns from 35% to under 8% across projects completed between 2021 and 2024.

Energy Management at Scale

With larger fleets, unmanaged simultaneous charging created demand peaks that triggered punitive demand charges from utilities. A 100-bus depot charging overnight could draw 3 to 5 MW, creating demand charges of $30,000 to $75,000 per month in California markets. The company developed a smart charging algorithm that staggered charging sessions based on departure schedules, electricity time-of-use rates, vehicle state of charge, and predicted next-day route energy requirements.

This managed charging approach reduced peak demand by 40 to 55% at managed depots, translating to $8,000 to $35,000 in monthly demand charge savings per site. The algorithm also enabled participation in utility demand response programs, generating an additional $15 to $25 per vehicle per month in grid services revenue.

Route Optimization for Range Constraints

ICE fleet routing optimizes for shortest distance or time. EV fleet routing must additionally account for battery state of charge, terrain-induced energy consumption variation, cabin climate control loads (which can reduce range by 20 to 40% in extreme temperatures), and en-route charging availability. The company integrated topographic data, historical weather patterns, and vehicle-specific energy consumption models to produce route plans that maintained a minimum 15% state-of-charge buffer at all times.

This system proved critical during a February 2023 cold snap in the Northeast US, when temperatures dropped below minus 15 degrees Celsius for five consecutive days. Fleets using the platform maintained 98.7% on-time performance by automatically adjusting routes, pre-conditioning vehicles, and redistributing assignments between vehicles based on real-time state of charge. Competing fleets without intelligent management reported on-time performance dropping to 71 to 82% during the same period.

Key Metrics Across Growth Stages

Metric	Pilot (2018)	Growth (2021)	Scale (2025)
Vehicles managed	12	1,200	10,000+
Fleet operators	1	23	85
Depot locations	1	38	210
Charging sessions per month	360	72,000	2,300,000
Average energy cost savings	62% vs diesel	54% vs diesel	51% vs diesel
Demand charge reduction	N/A	42%	48%
Vehicle uptime	94%	96.2%	98.1%
Annual recurring revenue	$36K	$4.8M	$38M
Employees	8	95	340

What's Working

Software-as-a-service revenue model. Charging a per-vehicle monthly fee ($150 to $350 depending on vehicle class and services included) creates predictable recurring revenue that scales linearly with fleet size. This model also aligns incentives: the platform provider earns more only when operators add vehicles, which happens when electrification delivers measurable savings.

Utility partnership programs. Partnerships with Pacific Gas & Electric, Southern California Edison, and Duke Energy created co-marketing channels and streamlined interconnection processes. PG&E's EV Fleet program, launched in 2022, pre-approved charging infrastructure at 140 depot locations and offered make-ready infrastructure at reduced cost for fleets using approved management platforms. These utility relationships reduced customer acquisition costs by approximately 40%.

Data-driven maintenance prediction. The platform's accumulation of over 850 million miles of EV operational data enabled predictive maintenance models that identify battery degradation patterns, motor bearing wear indicators, and thermal management system anomalies 4 to 8 weeks before failure. This capability reduced unscheduled maintenance events by 44% across the managed fleet between 2023 and 2025.

What's Not Working

Heavy-duty vehicle availability. While the platform is vehicle-agnostic, the limited availability of Class 7 and Class 8 battery electric trucks has constrained expansion into freight and long-haul segments. As of early 2026, only five manufacturers offer production Class 8 BEVs (Tesla, Daimler, Volvo, BYD, and Nikola), with combined annual production capacity of approximately 15,000 units against projected demand of over 45,000 units. Delivery lead times of 12 to 24 months have stalled several enterprise fleet transitions.

Grid capacity constraints. In dense urban areas, multiple fleet operators electrifying simultaneously have overwhelmed local distribution grid capacity. In the Los Angeles basin, 14 fleet depot electrification projects were delayed by 6 to 18 months in 2024 and 2025 due to distribution transformer capacity shortfalls. The platform can optimize energy use within the constraints of existing electrical infrastructure, but it cannot solve for fundamental grid capacity limitations that require utility capital investment.

Interoperability gaps. The commercial EV charging ecosystem lacks the standardized communication protocols that would allow seamless integration between vehicles, chargers, and management platforms from different manufacturers. OCPP (Open Charge Point Protocol) provides a baseline, but implementation varies significantly between charger manufacturers, and proprietary extensions create integration challenges. The company maintains dedicated integration teams for each of the 12 charger manufacturers its platform supports, adding engineering overhead that reduces gross margins by an estimated 4 to 6 percentage points.

Key Players

Established companies: Geotab (fleet telematics provider that expanded into EV fleet management, now supporting over 4 million connected vehicles globally), Samsara (IoT fleet platform with dedicated EV management modules covering over 700,000 vehicles), ChargePoint (largest networked charging infrastructure provider with fleet-specific CPO offerings), and Shell Recharge Solutions (integrated energy and charging management for commercial fleets across 35 countries).

Startups: Zūm (integrated EV fleet management and routing for school and transit fleets), Electriphi (now part of Ford Pro, depot charging management and fleet planning), Amply Power (charging-as-a-service provider managing energy procurement and charging infrastructure for commercial fleets), and Synop (fleet charging management platform focused on medium- and heavy-duty vehicles with grid services integration).

Investors: Breakthrough Energy Ventures (early-stage climate technology investor backing multiple fleet electrification startups), Generation Investment Management (growth-stage investor in sustainable mobility), Amazon Climate Pledge Fund (strategic investor in last-mile delivery electrification technologies), and BlackRock Climate Infrastructure (infrastructure-scale capital for depot charging facilities).

Action Checklist

• Conduct total cost of ownership analysis comparing current fleet vehicles with battery electric alternatives across a 7 to 10 year horizon, incorporating fuel savings, maintenance reduction, and available incentives
• Assess electrical capacity at all depot locations, identifying sites that can support electrification with existing infrastructure versus those requiring utility service upgrades
• Engage utility account representatives early to initiate interconnection studies and identify available fleet electrification incentive programs
• Select a fleet management platform that integrates vehicle telematics, charging management, route optimization, and energy cost optimization in a single system
• Start with a pilot of 10 to 25 vehicles at a single depot to validate operational processes, driver training requirements, and energy cost projections before committing to fleet-wide transition
• Establish baseline performance metrics (energy cost per mile, vehicle uptime, maintenance cost per mile, on-time departure rate) during the pilot phase for comparison against ICE operations
• Negotiate electricity rates with your utility, prioritizing time-of-use rate structures that reward off-peak depot charging over flat commercial rates
• Plan for workforce development including EV-specific maintenance technician training, driver orientation on regenerative braking and range management, and dispatcher training on the fleet management platform

FAQ

Q: How long does it typically take for a commercial fleet to transition from pilot to full electrification? A: Based on enterprise fleet transitions completed between 2022 and 2025, the typical timeline from initial pilot (10 to 25 vehicles) to full fleet electrification runs 3 to 5 years for fleets of 100 to 500 vehicles. The primary timeline driver is not vehicle procurement or platform deployment but electrical infrastructure readiness. Utility interconnection studies take 3 to 6 months, service upgrades take 12 to 24 months, and transformer procurement currently runs 18 to 36 months for large installations. Operators that engage utilities during the pilot phase rather than after can compress overall timelines by 12 to 18 months.

Q: What is the minimum fleet size for a managed charging platform to deliver positive ROI? A: Managed charging platforms typically deliver positive ROI at 15 to 20 vehicles per depot, where demand charge management savings exceed platform subscription costs. Below this threshold, the demand charges from unmanaged charging are often small enough that software management costs exceed savings. However, platforms that bundle route optimization, predictive maintenance, and energy management can demonstrate positive ROI at smaller fleet sizes (8 to 12 vehicles) because the maintenance and operational efficiency gains add incremental value beyond pure energy cost savings.

Q: How do fleet operators manage range anxiety for drivers during the transition? A: Successful transitions address range anxiety through three mechanisms. First, route-specific energy consumption modeling that shows drivers (and dispatchers) the predicted state of charge at every point along the route, building confidence through data rather than assurances. Second, graduated deployment that starts drivers on the shortest, most predictable routes before assigning them to longer or more variable routes. Third, real-time state-of-charge visibility on driver-facing applications with automated alerts when remaining range drops below route requirements, enabling proactive rerouting. Fleets using these approaches report that driver confidence reaches parity with ICE vehicles within 60 to 90 days of initial deployment.

Q: What happens to fleet operations during extended power outages? A: Grid resilience is a legitimate operational risk that fleet operators must plan for. Leading fleet management platforms integrate outage probability forecasting from utility data and weather models, triggering pre-emptive "full fleet charge" events when outage probability exceeds defined thresholds. Several large fleet operators have installed battery energy storage systems (100 kWh to 2 MWh) at depots to provide 24 to 48 hours of emergency charging capacity for critical vehicles. Some operators also maintain a small reserve of ICE vehicles (typically 5 to 10% of fleet size) during the transition period as contingency capacity.

Sources

• US Environmental Protection Agency. (2025). Inventory of US Greenhouse Gas Emissions and Sinks: Transportation Sector Detail. Washington, DC: US EPA.
• BloombergNEF. (2025). Electric Vehicle Outlook 2025: Commercial Fleet Economics and Adoption Projections. New York: BNEF.
• ACT Research. (2025). North American Commercial Vehicle Registration Data: Battery Electric Vehicle Segment Analysis. Columbus, IN: ACT Research.
• Pacific Gas & Electric. (2024). EV Fleet Program: Two-Year Impact Assessment and Fleet Operator Outcomes. San Francisco, CA: PG&E.
• Rocky Mountain Institute. (2025). Depot Charging Infrastructure: Costs, Timelines, and Grid Integration Strategies for Commercial Fleet Electrification. Basalt, CO: RMI.
• National Renewable Energy Laboratory. (2025). Fleet DNA Project: Real-World Medium- and Heavy-Duty Electric Vehicle Performance Data. Golden, CO: NREL.
• McKinsey & Company. (2025). The Road to Fleet Electrification: Software Platforms and Operational Readiness. New York: McKinsey Center for Future Mobility.