Charging Operations Intelligence: A New Paradigm for EV Networks

How Charging Operations Intelligence Protects Revenue and Unlocks Growth

The EV charging industry is scaling faster than ever. Fleets are electrifying, public networks are multiplying, and the pressure to deliver seamless charging experiences is mounting. But there’s a problem: operational costs are growing faster than revenue.

One leading DC charging operator grew revenue 45% last year but their operations costs rose 70% during the same time period. For many networks, as many as 15% of charging sessions fail or require multiple plug-in attempts, leaving drivers frustrated and brand reputation at risk. Every failed session is lost revenue, higher support costs, and an opportunity for competitors to win over customers.

The cause isn’t a lack of hardware or software. It’s the way the industry approaches operations.

Beyond Charging Management Software

For the past decade, the Charge Station Management System (CSMS) has been the backbone of charging operations. It’s great at managing transactions, ensuring interoperability, and handling standard protocols like OCPP and OCPI.

But here’s the problem:

Networks are running software that is blind to non-standard data. CSMS platforms rely almost entirely on standards-based communications. They miss vital signals from other subsystems—like payment terminals, roaming integrations, and ticketing systems—that are essential for diagnosing the real cause of an issue.

CSMS offers only a siloed view of operations. Each subsystem generates its own data and the CSMS sees only one slice of the puzzle, making true root cause analysis slow, incomplete, and often impossible.

The result? Weeks of undetected faults, inefficient troubleshooting, and decisions made without the full operational picture.

Introducing Charging Operations Intelligence

Charging Operations Intelligence is a new paradigm that sits alongside the CSMS, not in place of it. It unifies all operational data—standards-based, proprietary, structured, and unstructured—into a single, intelligent platform.

Charging Operations Intelligence is built on the three Ds that are essential for any netowork:

1. Detect – Continuous real-time monitoring of every component in the charging ecosystem, not just the charger hardware.

2. Diagnose – Automated root cause analysis that correlates data from chargers, vehicles, payment systems, roaming platforms, and customer tickets.

3. Decide – Financially prioritized, automated workflows that resolve issues before they impact drivers and revenue.

And today, this vision becomes practical with AIOps by eDRV, the industry’s first purpose-built platform for Charging Operations Intelligence.

AIOps in Action: From Reactive to Predictive

AIOps transforms operations by giving charging network operators a 360° view of their systems as well as the tools to act instantly. Here are just a few of the features you can unlock Charging Operations Intelligence using AIOPs by eDRV:

• Master Error Library – See the full impact of any error—documented or undocumented—across all vehicles, chargers, and sessions with a single click.

• Health Scoring Engine – Daily scoring of every charger across hardware faults, connectivity issues, and session outcomes, visualized in heatmaps for at-a-glance prioritization.

• Abnormal Event Timeline – Correlates every charger event—start, stop, faults, diagnostics—by session ID and timestamp, revealing patterns invisible to traditional tools.

• Lucene-Based Discovery Tool – Forensic-level search across years of operational history, pinpointing exact error codes, sequences, or anomalies in seconds.

• Automated Workflows – Trigger remote restarts, load redistribution, ticket creation, or even field service requests, all without human intervention.

The Future of Charging Operations Intelligence begins with AIOps

The EV industry is at a pivotal moment. The complexity of charging operations will only grow as adoption accelerates, fleets scale, and public networks expand. Without advanced operational intelligence, downtime, inefficiency, and revenue leakage will remain persistent challenges.

Charging Operations Intelligence is how the industry will get there, enabling:

• Near-zero downtime across networks.
• Support teams to scale without growing headcount.
• Profit margins to expand as operational costs stabilize.
• A driver experience that builds loyalty with every successful charge.

With AIOps, operators don’t just monitor chargers—they understand them, anticipate issues, and act before they happen.

AIOps by eDRV represents a major leap forward by offering CaaS operators the ability to act before problems strike. AIOps empowers charging networks to protect their revenue, and enables support teams to slash diagnosis-to-resolution times.

In a market where every second of uptime and every kilowatt-hour delivered counts, Charging Operations Intelligence is no longer optional, it’s essential. And with AIOps, that intelligence is now more powerful, predictive, and profitable than ever before.

Be a part of the future of Charging Operations Intelligence. Learn more about AIOps by writing to us directly at hello@edrv.io or letting us know more about your charging network here.

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