Charge the roster under the yard cap
Power is finite. The morning wave is not. Gaadin AI coordinates charging around departure times, vehicle SoC and available site capacity
Built for depot operators
For depot managers, fleet operators and yard teams managing multiple EVs, chargers and departure schedules from the same site
Everyone plugs in at 18:00
The vehicles arrive together. The power capacity does not increase with them
Departure
Which vehicles need to leave first?
SoC
Which vehicles actually need the most energy?
Power
How much charging load can the site support?
Energy
When should each vehicle charge to balance readiness and cost?
Charge the right vehicles within the site limit
Bring departure schedules, vehicle SoC, charger availability and site power capacity together to coordinate charging across the yard
Departure-Aware Charging
Prioritise vehicles based on when they need to leave and how much energy they need
Load Management
Coordinate charging demand to keep the depot within its configured power limit
Energy Intelligence
Shift charging where possible to lower-cost periods while keeping vehicles ready for departure
Keep the meter and OCPP chargers you already use
Connect your existing site meter, compatible OCPP chargers and vehicle data instead of replacing the infrastructure already deployed at your depot
Book an iCharz DemoExisting site meter
Use available site energy and power data to understand depot demand
Existing chargers
Support for compatible OCPP 1.6J and OCPP 2.0.1 charging infrastructure
Existing telematics
Use available vehicle and location data from supported telematics systems
Hardware-agnostic approach
Connect compatible chargers from different manufacturers through supported integrations
Typical deployment
A typical deployment can be around three weeks, depending on integrations, configuration and deployment scope
See how Gaadin AI can coordinate your charging yard
Depot EV charging — FAQs
Answers about depot charging, power management, OCPP chargers, vehicle readiness and energy optimisation
Yes. Gaadin AI can use available departure schedules, vehicle SoC and charging information to help prioritise charging around upcoming vehicle requirements.
Gaadin AI can coordinate charging demand based on the configured site power constraints and available charging infrastructure, helping operators manage charging load across the depot.
Yes. Gaadin AI supports compatible OCPP 1.6J and OCPP 2.0.1 charging infrastructure.
Where supported data is available, Gaadin AI can use site energy and power information to help operators understand and manage depot charging demand.
Yes. Operators can manage multiple locations and charging sites from the same platform, with visibility into vehicles, charging and energy activity.
Gaadin AI's Energy AI can use available energy and charging information to help determine suitable charging periods while considering vehicle readiness and operational requirements.
Yes. Gaadin AI can support mixed fleets, while providing EV-specific charging, energy and battery capabilities for the electric vehicles.
A typical deployment can take approximately three weeks, depending on the number of chargers, site-meter integration, vehicle and telematics integrations, configuration and deployment requirements.