Site Dashboard

Site Dashboard provides insights for site level monitoring. Site Dashboard provides mostly the sama data as the Company Dashboard, but with focus on individual site.

Sockets

What it measures:
Displays the total number of sockets across the network and their current operational states. Each category represents a live status reported via OCPP.

How to interpret:

• A high number of Available and Charging sockets indicates a healthy, active network.

• A rise in Unavailable or Offline sockets may signal connectivity or local infrastructure issues.
  This metric provides a live snapshot of charger readiness and utilization potential.

Socket Events

What it measures
Shows socket-level activity timelines for the site over the selected day. Each row represents a socket; color-coded bars indicate operational states.

How to interpret

• Dense blue bars show high charger activity and frequent usage.

• Long green lines mean extended idle or ready periods.

• Gaps between segments may suggest communication downtime or low usage windows.

Utilization Rate

What it measures:
Percentage of total time chargers were in active use versus available time during the past week.

How to interpret:

• Higher utilization = busy sites with frequent usage, suggesting good placement or demand.

• Low utilization = potential underuse, signaling opportunities for site optimization or pricing adjustment.
  Tracking daily changes helps identify consistent usage patterns and periods of inactivity.

• See how you compare against industry worst and top players

Success Rate

What it measures:
Proportion of charging attempts that successfully start a session.

How to interpret:

• 100% success rate means every plug-in attempt led to a working session — excellent reliability.

• Lower rates can indicate charger communication errors, user interruptions, or compatibility issues.
  Maintaining a consistently high success rate ensures a positive customer experience and reliable service operation.

• See how you compare against industry worst and top players

Charger Errors (Last 7 Days)

What it measures:
Aggregates charger error events by type and frequency across all sites.

Common error types:

• HW_FAILURE: Hardware-related malfunction (e.g., internal charger component error).

• COMM_FAILURE: Communication interruption between charger and backend.

How to interpret:

• A high count of recurring errors may indicate the need for hardware inspection or firmware update.

• Comparing across sites helps identify patterns or site-specific faults.
  This data supports proactive maintenance and reliability tracking.

Connection drops (Last 7 Days)

What it measures:
Reports on chargers that have gone offline in the past 7 days.

How to interpret:
If this section shows “No chargers have gone offline, great!”, it confirms stable network communication across all devices.
When issues appear, they typically point to platform connectivity, SIM, or local network disruptions requiring investigation. Chargers might also go offline if there is a hardware related issue.

Reboots (Last 7 Days)

What it measures:
Number of charger restarts recorded during the past week, aggregated across the network.

How to interpret:

• High reboot count: Possible firmware issues, unstable power supply, or scheduled maintenance restarts.

• Low or stable count: Normal operation and system stability.
  Reboots are tracked to assess charger reliability and identify early signs of instability.

Network Issues (Last 7 Days)

What it measures:
Reports on chargers that experienced communication or connectivity problems.

How to interpret:
If this section shows “No chargers have reported network issues”, it confirms stable network communication across all devices.
When issues appear, they typically point to platform connectivity, SIM, or local network disruptions requiring investigation.

Sessions (Last 7 Days)

What it measures:
Displays the total number of charging sessions recorded daily across the network over the last 7 days.

How to interpret:

• Stable or growing session volume = consistent customer activity and platform reliability.

• Sudden drops = possible outages, connectivity loss, or reduced user demand.
  Session tracking provides visibility into customer usage patterns and helps in demand forecasting.

Consumption (Last 7 Days)

What it measures:
Shows the total daily energy (in kWh) delivered through all charging sessions over the last 7 days.

How to interpret:

• Higher energy delivery = increased charger utilization and customer engagement.

• Fluctuations = seasonal or behavioral usage variations, or possible operational disruptions.
  This metric helps operators plan for power capacity, energy billing, and site scaling.

Avg. session duration (Last 7 Days)

What it measures:
Shows the average session duration over the last 7 days.

How to interpret:

• Long avg. duration: lots of slow AC charger usage and also depends on site physical location a lot

• Short avg. duration: lots of fast DC charger usage and also depends on site physical location a lot

• Helps to find out patterns when people are charging and for how long

Avg. consumption per session (Last 7 Days)

What it measures:
Shows the average consumption per session over the last 7 days.

How to interpret:

• High avg. consumption: batteries are getting charged to full capacity, typical with private AC chargers

• Low avg. consumption: possible operational disruptions or site has a lot of traffic where people stay for a short time

• Helps to find out patterns between different sites and their consumption output