Predict Before It Fails: The future of Battery Service and Maintenance
Date & Time:
Mode
Online (Zoho)
The future of after-sales service is no longer about diagnosing problems after they occur—it’s about predicting them before they happen. By combining battery data with physics-based intelligence and advanced analytics, organizations can move from reactive maintenance to proactive decision-making, enabling smarter service planning, faster root cause analysis, and more accurate battery life prediction.
This webinar explores how intelligent battery service platforms can help OEMs, battery manufacturers, and fleet operators answer the three questions that matter most:
- Which batteries are likely to fail before they actually do?
- Why did a battery degrade or fail in the field?
- How much useful life does the battery really have left?
Through real-world service workflows, we’ll demonstrate how predictive battery intelligence enables continuous fleet monitoring, preventive maintenance, and faster diagnostics. We’ll also showcase how point-in-time battery health checks complement continuous monitoring.
Meet The Speakers
Dr. Vineet Dravid
CEO, oorja
Prashant Srivastava
CTO, oorja
