Transportation has always been a critical determining factor for economies and quality of life worldwide. Inefficiencies in transportation cost money as well as increase emissions. Traditionally, the increase in demand for good transportation infrastructure is much faster than the supply of this infrastructure by the authorities. This is the key imperative for the transportation industry to turn towards business analytics to better utilize available resources. The key driver for succeeding in this initiative is the availability of data and the ability to use this data for making smarter decision with the use of analytics insights.

Fleet analytics is the real-time analysis of driver and vehicle data collected by an onboard computer and fleet management software. Fleets have enormous amounts of trip data available from their trucking management and maintenance systems, plus information from any mobile communication systems they use, such as GPS, speed and engine data. Add to that data from any on-board sensors such as cargo temperature monitors, tire pressure monitors, safety devices, etc., and there is plenty of data. Access to data has improved significantly in the past several years, from onboard vehicle telematics to fleet-cost data granularity. Integration of all data sources has led to a greater ability to manage fleet operations and costs. Fleet managers can learn new things about their operations by analyzing everything from accidents to wait times.


Customer Challenges

Key customer challenges are:

  • Data sources that bring in the data from transportation are not connected with each other.
  • As authorities provide multi-modal transportation for moving people and goods, it requires comprehensive data collection capabilities.
  • Transportation industry being one of the traditional industries is slower in adopting to new technologies thereby making it difficult to sanitize data across different components of the transportation chain.
  • Lack of a synchronized control platform for monitoring transportation leads to reactive decision making as compared to the proactive decision making required.
  • Large parts of data collected in the transportation industry is unstructured.

Solution Offerings

CloudMoyo’s transportation analytics platform provides for a cloud-native platform that enables the organizations to synchronize data from disparate transportation systems and feed that data to the data analytics engine. This enables the organization to optimize the CapEx and OpEx requirements. CloudMoyo’s Transportation Analytics platform enables the following,

  • Perform predictive maintenance for fleet thereby reducing the risk of unscheduled maintenance, prevent expensive failures and extend part-life
  • Reduce revenue loss due to service disruptions
  • Accuracy in demand forecasting resulting in optimized operations, real-time supply chain visibility, higher availability of assets
  • Provides the ability of the organization to perform dynamic pricing and revenue optimization.