Solutions | Leasing

Know how every leased EV is being used

For leasing companies and captive finance fleets — bringing vehicle utilisation, charging, energy and battery health together across every leased vehicle and contract

Gaadin AI EV leasing fleet platform showing vehicle utilisation, charging and battery health
Who this page is for

Built for leasing operators

For EV leasing companies, captive finance fleets and businesses managing vehicles across multiple customer contracts

Leased EV utilisation, charging and battery health shown separately
Today

You know the contract. You don't always know the asset

A leased vehicle can accumulate high utilisation, inefficient charging patterns or battery degradation without those signals reaching the asset's team in time

Utilisation

Utilisation

How heavily is each leased vehicle being used?

Charging

Charging

How is the vehicle being charged throughout the contract?

Battery

Battery

How is battery health changing over time?

Contract

Contract

What is the condition of the asset as the lease approaches its next milestone?

With Gaadin AI

See utilisation, charging and battery health together

Bring each leased vehicle, its operational activity and battery intelligence into one view — and manage customers or contracts as separate sub-fleets

Gaadin AI utilisation of leased EVs across customers and contracts

Asset Utilisation

See how vehicles are being used across customers, contracts and sub-fleets

Gaadin AI battery health comparison across a leased fleet

Battery AI

Track battery health and identify changes in battery performance over time

Gaadin AI state of charge distribution across leased vehicles

Charging Intelligence

Understand charging activity and patterns across leased vehicles

Hardware you already have

Keep your contracts and telematics. Add EV intelligence

Connect supported telematics and existing OCPP charging infrastructure without replacing the systems already used to manage your leased vehicles

Book an iCharz Demo
1

Existing telematics

Use available vehicle, location and utilisation data from supported telematics systems

2

Existing chargers

Support for compatible OCPP 1.6J and OCPP 2.0.1 charging infrastructure

3

Customer sub-fleets

Separate vehicles by customer, contract or operating group while managing them from the same platform

4

Battery intelligence

Add battery health visibility to the operational data already available from your vehicles

5

Typical deployment

A typical deployment can be around three weeks, depending on integrations, configuration and deployment scope

See every leased EV, from contract to battery health

Bring your existing telematics and compatible chargers. We'll show you how Gaadin AI can give your leasing team one operational view across vehicles, customers and contracts
Questions

EV leasing fleet operations — FAQs

Answers about utilisation, charging, battery health, customer sub-fleets and leased EV operations

Yes. Gaadin AI can use available vehicle and telematics data to provide visibility into vehicle activity and utilisation across supported fleets and sub-fleets.

Yes. Vehicles can be organised into sub-fleets and operational groups, allowing leasing operators to separate customers, contracts or other fleet structures while maintaining central visibility.

Yes. Gaadin AI includes Battery AI capabilities designed to provide battery-health intelligence from available vehicle and charging data.

Yes. Compatible charging infrastructure can be connected to provide visibility into charging sessions and charging activity across leased vehicles.

Yes. Gaadin AI is designed to work with supported telematics and compatible OCPP 1.6J and OCPP 2.0.1 charging infrastructure.

Yes. Leasing operators can organise vehicles into customers, contracts, sub-fleets and locations while maintaining a central operational view.

Gaadin AI can provide visibility into vehicle utilisation, charging activity and battery health, giving leasing teams relevant operational data as vehicles approach contract milestones.

A typical deployment can take approximately three weeks, depending on fleet size, telematics and charger integrations, configuration and deployment requirements.