How ChargeLab’s Analyze with Spark™ slashes O&M costs and boosts uptime

Written by ChargeLab | Jun 9, 2025 6:26:24 PM

EV charger downtime isn’t just inconvenient; it’s expensive.

Every minute a charger is offline means lost revenue, unhappy drivers, and stressed Operations and Maintenance (O&M) teams. Traditionally, diagnosing charger faults requires sifting through hundreds of log files and interpreting vendor-specific fault codes. This manual process drives up labor costs and delays fixes. ChargeLab’s Analyze with Spark™ changes that.

Meet Analyze with Spark™: your smart diagnostics partner

Analyze with Spark™ (launched in beta earlier this year) is an AI-powered tool designed to supercharge your O&M teams. In mere moments, Spark™ is capable of doing the following:

Identifying the errors that occurred related to the charger’s health, its connectivity, or user related issues.
Tracking how often an error happened and providing the timestamp it was last seen.
Determining how severe the errors are based on how likely it is impacting the EV driver’s session success.
Explaining why the errors happened and what to do next to quickly resolve issues.

How does Analyze with Spark™ work?

The Spark™ AI has been trained on thousands of EV chargers on the ChargeLab network to recognize problematic patterns. The AI has access to a vast knowledge base - that our team frequently updates - with the latest charger manuals, vendor error codes and internal hardware knowledge (developed by our extensive charger testing) to identify possible root causes and next actions.

Try Analyze with Spark™ now!

Cut diagnostics time from hours to minutes — and get your chargers back online faster. Try Analyze with Spark™ today. Log in to your account and use the “Analyze" button on the charger details page to identify charger errors and optimize operations. Let Spark™ guide you to a more efficient and reliable EV charging network.

Contact

press@chargelab.co
1 (800) 636-0986 ext. 210

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