Intelligence
The Intelligence module helps you understand what actually happened across your charging network and why, without reviewing raw OCPP logs or individual charger diagnostics.
It automatically analyzes charging sessions and fault events and converts them into clear, actionable insights for:
- Operations teams
- Support teams
- Technicians
- Management
No configuration is required. Intelligence works automatically on available session and fault data.
What Intelligence Is (and Is Not)
ImportantIntelligence does not control chargers, change settings, or resolve issues automatically.
Its role is to explain behavior, surface patterns, and guide decisions.
Think of Intelligence as a continuously running analyst that reviews everything that happened and highlights what matters.
Time Range Selection
At the top of the Intelligence view, you can switch between:
- Day
- Week
- Month
This controls the time window used for analysis.
When to use each view
| View | Best used for |
|---|---|
| Day | Incident review, support cases, recent failures |
| Week | Identifying recurring issues and early warning patterns |
| Month | Management overview, stability trends, long-term performance |
All insights, charts, and metrics update automatically when the time range changes.
Top Insights (AI Summary)
The Top Insights section provides an AI-generated summary of the most important findings for the selected period.
It is designed to answer three key questions:
- How healthy is the network overall?
- Which chargers require attention?
- Are there signs of serious technical breakdowns?
Performance & Impact Snapshot
What this shows A high-level view of how charging failures affected overall network reliability.
This insight evaluates the overall health of the charging network by correlating session failures with their real operational impact, not just fault counts.
Impact levels
| Level | Meaning |
|---|---|
| Low Impact | Failures are isolated and do not meaningfully affect availability or user experience |
| Moderate Impact | Failures are recurring or clustered and have a noticeable impact |
| High Impact | Failures are frequent or widespread and significantly reduce charging success |
Start hereUse this insight as your first checkpoint when opening Intelligence.
High Attention Chargers
What this shows Chargers (EVSEs) that require technical attention due to recurring or abnormal failure patterns.
This insight focuses on the concentration of problematic chargers, identified through AI analysis of session behavior and fault recurrence.
Risk levels
| Level | Meaning |
|---|---|
| All Clear | No chargers show concerning patterns |
| Low Risk | Early warning signs on a small number of chargers |
| Moderate Risk | Multiple chargers show recurring issues |
| High Risk | Persistent or escalating faults requiring immediate attention |
Operational tip Use this list to prioritize inspections, firmware checks, or on-site visits.
Critical Fault Signals
What this shows Indicators of severe technical breakdowns that may affect safety or reliability.
This insight is based on:
- Critical Fault Rate (share of failures caused by severe technical faults)
- Overall Session Failure Rate
It answers the question: Are failures pointing to serious technical problems?
Risk levels
| Level | Meaning |
|---|---|
| All Clear | No critical fault patterns detected |
| Low Risk | Rare and isolated critical faults |
| Moderate Risk | Repeated critical faults on specific chargers |
| High Risk | Frequent or widespread critical faults indicating serious reliability or safety risk |
High Risk requires actionChargers flagged here should be reviewed before issues escalate further.
Health and Session Metrics
Below the Top Insights, you will find key metrics for the selected period:
- Health index – Overall success score for analyzed sessions
- Analyzed sessions – Total sessions included in the analysis
- Successful sessions – Sessions completed without faults
- Fault rate – Percentage of sessions that failed
- Faults – Total detected failures
These metrics provide context and help validate the insights above.
Failure Distribution
The failure distribution section explains what failed and where the issue most likely originated.
Best practiceAlways read Failures by Type and Failures by Origin together.
Failures by Type
What this shows How charging sessions ended.
This chart explains what happened during failed sessions.
| Failure type | Description |
|---|---|
| Vehicle disconnected | The cable or vehicle connection was interrupted during the session |
| Vehicle stopped charging | The vehicle stopped requesting power while the charger was available |
| Stopped by user | The charging session was manually stopped by the user |
| Grid power supply | Insufficient power could be delivered from the local grid or installation |
| Safety protection activated | Charging stopped automatically to protect people or equipment |
| Charger hardware or firmware fault | Internal charger fault prevented continued charging |
| Communication error | Loss of communication between charger and backend |
Failures by Origin
What this shows Where the issue most likely originated.
This chart explains who or what caused the failure.
| Origin | Meaning |
|---|---|
| Vehicle | Caused by the vehicle or its interaction with the charger |
| User | Result of a direct user action |
| On-site power | Originated from the local electrical installation or grid |
| Charger | Caused by charger hardware, firmware, or safety logic |
Detected Faults Table
The Detected Faults table lists individual failed sessions within the selected time range.
For each session, you can see:
- Session ID and timestamp
- Charger and connector
- Location and operator
- Fault reason
- Recommended action
- Fault origin
This table is usually the starting point for investigating specific issues.
Session Details (Read More)
Click Read more on a failed session to open a detailed chronological explanation.
What the session view shows
-
Charger and connector details
-
Protocol information
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A step-by-step timeline of OCPP events
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Key actions such as:
- MeterValues
- StatusNotification
- RemoteStopTransaction
- StopTransaction
Events are displayed in the exact order they occurred.
How to use the session timeline
Use the timeline to:
- Confirm whether energy transfer actually started
- See who initiated a stop (user, backend, or charger)
- Understand why the session ended
- Identify unexpected backend logic or automation
InsightThis replaces manual log inspection and makes complex charging behavior understandable for both technical and non-technical users.
Best Practices
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Review Intelligence daily or weekly
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Use Day view for incident and support follow-up
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Use Week and Month views for trend analysis
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Prioritize chargers listed under High Attention Chargers
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Use session timelines when working with:
- Support cases
- Hardware vendors
- On-site technicians
Updated 10 days ago