Proof, not promises.
Fleet intelligence, charging optimization, and energy systems. Deployed and measured across commercial EV operations.
How an Amazon Delivery Partner Achieved 100% EV Fleet Readiness
An Amazon delivery partner operating across an Indian state was losing dispatch reliability to problems that existing tools couldn't surface. OEM-provided tracking and battery status apps showed vehicles as operational while batteries were silently degrading, chargers were dropping sessions overnight, and drivers were unknowingly pushing batteries to critically low state-of-charge on every trip without any system to guide them otherwise.
The fleet lacked operational intelligence. OEM telematics showed surface-level status but couldn't correlate vehicle health, charging completeness, and driver behavior into a single picture. Batteries were being stressed beyond safe thresholds not because drivers were negligent, but because no system existed to make the right operating boundaries visible or enforceable. The result: vehicles not ready at shift start, missed routes, accelerated battery degradation, and rising costs.
ergOS was deployed as the fleet's intelligence layer, ingesting telematics, charger data, and energy consumption patterns into a unified operational model. The system continuously correlated vehicle health, charging completeness, battery state-of-charge trajectories, and driver behavior to predict and prevent dispatch failures before they occurred. The operator scaled from under 10 vehicles to a commercial deployment of 50 vehicles across the state within months, driven by the operational confidence ergOS delivered.
"The optimized charging cycles are helping us maintain battery health for long-term durability and performance. We are now more confident in scaling our EV fleet sustainably, efficiently, and with greater operational visibility."
— Director, Leading Logistics Player, PAN-India
The fleet now operates as a reference deployment for EV operations in last-mile delivery. Every vehicle is charged, healthy, and dispatch-ready before the first route of the day. The rapid scaling to a 50-vehicle commercial deployment was a direct result of the operational certainty the system provided.
Core Technology Partner for a Multi-Country Battery Swap Network
A Singapore-headquartered Battery-as-a-Service company operating battery swap cabinets across multiple Southeast Asian countries needed a unified data layer that could scale across markets, vehicle types, and business models simultaneously.
Running a multi-country battery swap and EV charging network with different regulatory environments, vehicle brands, grid conditions, and customer types. The operator needed a unified data layer spanning charging management, fleet operations for delivery partners, market entry planning, and network-wide operational intelligence.
ergLocale delivered the data and operations layer across the operator's entire business: charging management systems adapted for government tenders and new market entry, fleet charging infrastructure for major delivery platforms, electrification planning for expansion markets, and automated data operations providing network-wide visibility across countries.
"Fleet uptime improved significantly with seamless integration into our existing systems. The operational reliability is exactly what we needed as we scale."
— Technical Director
This engagement is ergLocale's deepest technology partnership, spanning the full product suite across multiple countries and business lines. It demonstrated the platform's ability to serve a sophisticated, venture-backed EV infrastructure operator beyond fleet intelligence alone.
How a Corporate EV Fleet Discovered 75% of Its Energy Spend Was Avoidable
A corporate EV rental and employee transport operator in India knew their charging costs were higher than expected, but had no way to isolate why or where the money was going. Separately, vehicles were experiencing intermittent operational failures that silently eroded fleet availability and revenue.
The fleet was bleeding margin from two invisible sources: suboptimal energy procurement across charging locations, and preventable vehicle downtime that only surfaced after dispatch failures. Existing tools could not differentiate between charging sources, model the cost impact, or detect the early signals of operational degradation.
ergOS ingested the fleet's operational data and built a continuous model of energy flow, vehicle health, and charging economics across the operation. The system identified that 80% of energy was being consumed through expensive public charging stations. Going deeper, it determined that 75% of that public charging could have been shifted to cheaper hub infrastructure, representing the bulk of the fleet's avoidable energy spend. In parallel, the system detected degradation patterns that would have caused downtime, intervening before vehicles were taken out of service.
The operator gained a clear, quantified path to restructure energy spend across the fleet. The same system that surfaced the cost optimization also identified early degradation signals, protecting fleet availability. ergOS paid for itself at the individual vehicle level.
Activating the Full Smart Charging Stack for an Indian Charging OEM
Most EV chargers ship with smart charging capabilities that never get used. The firmware supports it, the protocol defines it, but the software layer above the hardware almost never exercises it. A leading Indian charging OEM came to ergLocale to change that for their entire product line.
The manufacturer builds certified charging hardware with advanced protocol support in the firmware. But across the industry, the gap between what charger hardware can do and what charging management software actually exercises remains wide. After evaluating dozens of systems, they found none that could fully activate the smart charging and load balancing capabilities their hardware was designed for.
ergLocale's platform was integrated directly with the manufacturer's firmware stack, unlocking dynamic load balancing, real-time power allocation across multiple chargers, flexible scheduling, and grid-responsive charging. ergLocale built dedicated interfaces for the engineering team to test, validate, and control every smart charging parameter in production. The integration was stress-tested across edge cases including connectivity loss, power interruptions, and firmware updates.
"ergLocale stands out as the only system that has successfully developed and integrated smart charging functionalities from the OCPP documentation. These advancements hold substantial importance for the near future, particularly in extensive residential and commercial locations."
— Product Validation Engineer
The manufacturer's chargers now ship as smart-charging-validated with full load balancing. Dormant hardware capabilities became production-ready features.
Enabling Smart Charging Across a Global OEM's Fleet-Ready Charger Line
A publicly listed charging OEM needed its hardware to do more than charge vehicles. Fleet operators and site owners were asking for smart charging, load balancing, and energy-aware scheduling — capabilities the firmware supported but no software layer could activate. The OEM came to ergLocale to make their entire product line fleet-ready.
The manufacturer builds certified charging hardware with advanced protocol support in the firmware. But across the industry, the gap between what charger hardware can do and what charging management software actually exercises remains wide. After evaluating dozens of systems, they found none that could fully activate the smart charging and load balancing capabilities their hardware was designed for.
ergLocale's platform integrated directly with the manufacturer's firmware stack, unlocking dynamic load balancing, real-time power allocation across multiple chargers, flexible scheduling, and grid-responsive charging. The engineering team built dedicated interfaces to test, validate, and control every smart charging parameter in production. The integration was stress-tested across edge cases including connectivity loss, power interruptions, and firmware updates.
The manufacturer's chargers now ship as smart-charging-validated with full load balancing — ready for fleet depots and commercial sites out of the box. ergLocale's platform turned dormant hardware capabilities into production-ready fleet infrastructure.
Optimizing a Multi-Source Energy System for Motorway EV Charging
A UK energy developer needed to determine the optimal energy system configuration for supplying electricity to EV charging infrastructure at a major motorway services area. The system had to balance multiple solar farms, a wind farm, battery energy storage, grid export, and projected EV charging demand growth over a decade.
Without intelligent design, over 40% of generated renewable energy would be curtailed rather than delivered to EV charging. The project required modeling complex interactions between grid supply, multiple generation sources, battery storage dispatch, and time-varying EV charging demand. Manual scenario analysis could not evaluate the configurations needed.
ergOptimize applied computational optimization across the full energy system: grid interaction, solar PV from multiple sites, wind generation, and battery storage. Using 20+ years of solar irradiance data, site-specific vehicle projections, and grid tariff structures, the platform evaluated hundreds of design scenarios across BESS capacities, generation mixes, and offtake configurations. The optimized design directs renewable energy to EV charging demand rather than curtailment, with battery storage absorbing generation peaks and dispatching into charging valleys.
The automated design workflow replaced weeks of manual analysis, delivering bankable outputs for the investment decision. The optimization models serve both the design phase and the ongoing operational dispatch layer, ensuring energy is continuously directed to its highest-value use.