Industry pathway
Automotive & Transportation
Connect plant, fleet, vehicle, and passenger data so manufacturers and transport operators see problems on the line and on the road as they happen.
Use cases
What we solve in automotive
Automotive
A transport corridor: an assembly plant, a service garage, a crossroads, a highway flyover, a charging hub, and a bus station.
Pick a use case to see the problem and what we build, or play the tour.
An illustration of typical work in automotive. The business, people, and data are invented.
All 6 use cases in the scene
Production & parts supply
A line-side bin runs empty before anyone notices, and the whole line waits for parts.
Live parts levels at every station, so the next delivery leaves before a bin runs out.
Predictive vehicle maintenance
Vans are serviced on a fixed calendar, so worn parts fail on the road between visits.
Models that read wear from vehicle data and book each van in before a part reaches its limit.
Connected vehicles & telematics
A breakdown is only reported once the driver gets through on the phone.
Vehicle data streamed live, so a fault raises an alert and help is sent to the exact spot.
Fleet & route optimization
Lorries keep to the planned road and queue at road works the drivers hear about too late.
Route planning from live road conditions, sending each lorry the quickest way round.
EV charging networks
A charger fails and stays down until a driver complains, while others queue for the rest.
Live monitoring of every charger, with remote resets and an alert when one goes offline.
Passenger demand & ticketing
Buses keep to a fixed timetable, so a crowd at one stop waits while buses run empty elsewhere.
Ticket and tap-in data read live, so an extra bus goes where the crowd is forming.
Common challenges
Where data and process problems usually show up
01
Vehicle and plant data arrive in different formats
Telematics, production, dealer, and service systems each speak their own language. A shared data model lets teams follow a part or a vehicle from the plant to the road.
02
Maintenance runs to the calendar, not the condition
Models that read wear from vehicle and sensor data let fleets service what needs it, before it fails on the road.
03
Plans do not follow live conditions
Routes, timetables, and charging capacity planned from live traffic, ticketing, and usage data put vehicles where demand actually is.
Typical data sources
- Telematics
- MES and ERP
- Dealer and service systems
- Ticketing systems
- Charger management platforms
This page describes common sector challenges and the services that address them. It does not describe specific client engagements.
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