One AI layer for charging, dispatch, and battery health
RideBlitz links with existing chargers and dispatch tools, reads available data, learns fleet patterns, and improves decisions beyond manual coordination.
Charge each vehicle when cost and need are lowest
Manual schedules treat vehicles alike. RideBlitz assigns schedules using departure time, battery state, and PLN time-of-use rates.
PLN tariff-aware charging
It moves charging to off-peak periods using the utility's published tariff schedule, without further manual setup.
Charge-state targeting
Each target reflects the vehicle's predicted next-trip distance, rather than a blanket 100 percent that speeds battery wear.
Charger queue control
With limited depot slots, RideBlitz orders vehicles by departure priority, giving earliest departures first access.
Assign available vehicles using battery state and incoming trips
Standard dispatch shows vehicle locations. RideBlitz also identifies vehicles charged enough to finish the next assignment without an unscheduled stop.
For each new trip, dispatch ranks vehicles by proximity, charge, and expected demand over the next two hours. A vehicle at 18 percent charge avoids the long airport run.
Operators see location, current charge, expected range, and pending assignment. The model recommends, and the dispatcher approves.
Range-aware assignments
Dispatch checks whether a vehicle can complete the trip and reach the depot without an unscheduled charging stop.
Demand prediction
Past trips and booking data inform a model that forecasts peak demand 2-4 hours ahead.
Dispatcher oversight
Suggestions remain optional. Dispatchers can override them, and the model learns from those corrections.
Monitor battery and vehicle health within operations
Degradation builds through charge cycles, hot storage, and deep discharges. RideBlitz monitors these factors across every fleet vehicle.
Pack health monitoring
Track degradation signals across vehicles. RideBlitz flags units where observed capacity indicates early service could prevent failure.
Anomaly alerts
Maintenance teams see unusual charge curves, charging temperature spikes, and unexpected voltage drops before breakdowns occur.
Maintenance calendar integration
Health data informs the maintenance calendar. RideBlitz recommends service during downtime, keeping vehicles available during peak shifts.
Works with your existing fleet systems
RideBlitz connects to OCPP chargers and fleet platforms through an API, with no proprietary hardware required.
OCPP Chargers
Works with OCPP 1.6 or 2.0 compliant stations, reading charge status and sending control commands directly.
Vehicle Telematics
Gets battery state, location, and odometer data through OEM APIs or dongles for older vehicles in mixed fleets.
Dispatch Systems
REST API connects dispatch and booking systems both ways. Webhooks deliver live trip events.
Operator Dashboard
Browser-based view of fleet status, charging queues, and dispatch recommendations, with no installation required.
Alerts and Notifications
Send health, missed-target, and dispatch-conflict alerts through WhatsApp, email, or webhooks to internal tools.
Data Export
Export charging sessions, dispatch logs, and health reports as CSV or JSON for accounting and regulatory reports.
See it with your fleet data
Bring your Jakarta fleet setup and see how RideBlitz would operate your vehicles in real scenarios.