Stratio
Supporting Bus Operations and Maintenance with AI
This article first appeared in the Bus-News magazine, Issue 2 2022.
Predictive Maintenance: The Key to Efficient, Reliable Public Transportation
The lack of visibility into key aspects of every fleet business, combined with manual tasks that require human intervention at all steps, limits both the efficiency of public transport operations and the amount of people that can access key services and opportunities.
The general public doesn’t realise it because we are used to the way it has always been, but a large part of the transportation industry is still labour-intensive, requires manual input every step of the way, and maintains a degree of separation between areas of the business that impedes real visibility and monitoring.
The result is a continuous, tremendous drain on repair and maintenance, fuel / energy costs and productivity losses. This is where predictive maintenance comes in – we created Stratio and developed our technology to change the paradigm of how transport companies think about the maintenance of their vehicles, and solve the problems that prevent public transportation from being as efficient and reliable as it can and should be.
With advanced AI and ML algorithms, our platform analyses billions of vehicle sensor datapoints and turns them into predictive intelligence that allows transport operators to know when a component might fail… before it does. This enables the streamlining, digitalisation and automation of maintenance operations in a way that wasn’t possible before.
It’s a bit like being able to see the future – AI can spot patterns that humans can’t, sifting through and analysing amounts of data that it would be unthinkable to process manually.
The intelligence that this process generates can also be turned into automated maintenance plans, and is fully integrable into other platforms, systems and tools.
