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Identify Computers With Battery Wear
Most IT teams only become aware of battery problems once users start complaining. By then, productivity is already affected, especially for mobile and hybrid workers who depend on reliable battery life. Battery wear develops gradually, often unnoticed, until it directly impacts daily work. With Applixure, IT teams can identify computers with battery wear in seconds and move from reactive support to proactive intervention.
Experience
IT Manager
Extended device lifespan
Quick Win
Overview
Battery degradation is a silent issue in most endpoint environments. Office workers may tolerate shorter battery life without reporting it, while mobile/remote employees experience sudden shutdowns, reduced mobility, and unreliable devices. Without clear and always available visibility, IT has no way to act until the problem becomes urgent.
Applixure makes battery wear visible immediately. Instead of relying on tickets or user feedback, IT teams can surface all affected devices directly from the dashboard and assess the severity before users are impacted.
What Applixure Provides
Applixure continuously monitors battery health across the computer fleet and surfaces clear, actionable signals, including:
- Devices with battery wear warnings or alerts
- Battery capacity percentages per device
- Average runtime per charge
- Repeated usage patterns such as frequent discharge to empty
- Battery-related shutdown events and historical issue data
- Hardware details to confirm battery replaceability
Battery conditions are automatically classified:
- Below 75% capacity → Warning
- Below 50% capacity → Alert (worn-out battery)
This removes guesswork and ensures IT focuses only on devices that actually require attention.
With Applixure Workflow, IT teams can go beyond default thresholds by creating custom quality baselines. By defining minimum acceptable standards, you ensure devices are flagged the moment they fall below your operational requirements — not after users are impacted.
Benefits
- Identify all devices with battery wear in seconds
- Reduce unexpected shutdowns and mobile productivity loss
- Prevent recurring support tickets related to battery issues
- Prioritize battery replacements based on real condition, not age
- Gain historical context to understand usage patterns and root causes
- Improve user experience without replacing entire devices unnecessarily
Implementation Steps
- Create an Applixure account
- Deploy the lightweight agent (via management tool is recommended)
- Data collection starts (2-4 hours)
- Open the Devices view in Applixure Analytics
- Navigate to Warnings and select Battery Wear
- View, sort, search, or export the affected device list
- Drill into individual devices for detailed battery diagnostics
Ready to implement this use case?
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