Solutions | Logistics

Charge the van against tomorrow’s route

For logistics and last-mile operators moving to electric — bringing vehicle readiness, charging, energy and battery intelligence together around every route

Gaadin AI logistics fleet charging and route operations
Who this page is for

Built for logistics operators

For last-mile delivery, parcel, distribution and logistics teams managing vehicles around routes, delivery schedules and fixed departure windows

Gaadin AI EV fleet platform for logistics and last-mile operators
Today

The route is in one system. The charger queue is in another

Your TMS knows where the vehicle needs to go. Your charger knows whether it is charging. Your operations team still has to connect the two

Routes

Routes

Which vehicle is assigned to tomorrow’s route?

Readiness

Readiness

Will it have enough charge before departure?

Charging

Charging

Which vehicles need to charge first?

Energy

Energy

How do we charge within the depot’s available power and cost constraints?

With Gaadin AI

Prepare the vehicles that leave first

Bring route schedules, vehicle SoC, charging status and depot capacity together so your team can plan charging around the next departure

Gaadin AI route-aware charging for logistics vans and departure windows

Route-Aware Charging

Prioritise charging around vehicle assignments, departure windows and route requirements

Gaadin AI logistics vehicle readiness with state of charge and depot load

Vehicle Readiness

See which vehicles are ready, charging, waiting or need attention before the next shift

Gaadin AI best charging window for a logistics depot under the power limit

Energy Intelligence

Coordinate charging with depot power limits and energy costs

Hardware you already have

Keep the TMS and chargers you already use

Connect supported telematics, TMS data and OCPP charging infrastructure instead of replacing the systems already running your logistics operation

Book an iCharz Demo
1

Existing TMS & telematics

Use available route, vehicle and location data from supported systems

2

Existing chargers

Support for compatible OCPP 1.6J and OCPP 2.0.1 charging infrastructure

3

Hardware-agnostic

Connect compatible chargers from different manufacturers through supported integrations

4

Typical deployment

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

See how your routes become a charging plan

Bring your existing telematics, TMS and compatible chargers. We’ll show you how Gaadin AI can fit around your current logistics operation
Questions

Logistics EV operations — FAQs

Answers about route-based charging, vehicle readiness, telematics, depots and EV fleet operations

Yes. Gaadin AI can use available vehicle, route, SoC, charging and departure information to help operators plan charging around upcoming operational requirements.

Yes. Gaadin AI is designed to work alongside supported TMS, telematics and GPS systems, allowing available vehicle and operational data to inform the charging operation.

Yes. Gaadin AI supports compatible OCPP 1.6J and OCPP 2.0.1 charging infrastructure, allowing logistics operators to connect supported chargers from different manufacturers.

Yes. Gaadin AI can support mixed fleets, allowing logistics operators to manage ICE, hybrid and EV vehicles while adding EV-specific charging and battery capabilities.

Yes. Operators can manage multiple locations and sub-fleets from the same platform, with visibility into vehicle operations, charging and depot activity.

Gaadin AI brings vehicle status, SoC, charging activity and operational requirements together so teams can identify which vehicles need attention before their next departure.