Flux Power Holdings, Inc. announced SkyEMS 3.0, designed to transform fleet data into a personalized command center that delivers the information each operator needs, exactly when they need it.
With customizable dashboards, AI-powered analytics, intelligent alerts, advanced battery health monitoring, and a new mobile experience, SkyEMS 3.0 helps organizations reduce time-to-awareness of battery issues by 15-40% while also achieving a 10-30% improvement in fleet uptime.
"Fleet managers don't need more data. They need the right data," says Krishna Vanka, CEO of Flux Power. "SkyEMS 3.0 delivers a personalized intelligence platform that adapts to each operation while leveraging AI to uncover opportunities, identify risks, and help customers maximize the value of every battery in their fleet."
Key takeaways:
· At the heart of SkyEMS 3.0 is a fully customizable dashboard built for how real operators work. Drag-and-drop widgets surface the metrics that matter most to each team from state of charge and charging activity to fleet utilization, runtime performance, and battery health trends.
· Intelligent alert management allows teams to configure critical notifications around specific operational thresholds, ensuring the right people see the right issues instantly.
· The platform continuously analyzes fleet-wide activity to identify trends, detect anomalies, and surface actionable recommendations.
· SkyEMS 3.0. It automatically analyzes battery usage patterns and improves the accuracy of State of Health (SOH) forecasting, enabling operators to extend asset life, plan replacements with confidence, and reduce unplanned downtime.
· SkyEMS 3.0 builds on more than 90 platform enhancements delivered over the past six months.
· Additional features include drag-and-drop widgets tailored to individual users and operational priorities; real-time notifications based on KPIs and fleet conditions; AI-powered predictive analytics; analyzing usage patterns to improve battery health forecasting accuracy; deeper diagnostics, lifecycle tracking, and end-of-life forecasting at the pack level; more accurate calculations for planning and capacity optimization; fleet-wide reporting on energy consumption, charging behavior, utilization trends, and operational efficiency; and scalable integrations and role-based access for organizations of any size.
