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.
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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. .gif?width=649&height=365&name=My%20Movie%201%20(1).gif)
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
