There are numerous ways that a fleet’s unique, real-time telematics data can be leveraged to improve fleet operations through predictive analytics, interconnected networks and advanced record management. To tap into these capabilities in 2019, fleet telematics technology must adapt to the following three major trends that will impact all industries within the next few years.
1. Big Data and A.I.
Along with historical information, fleet vehicles generate massive amounts of unstructured data on a daily basis, such as how much fuel is consumed when workers are driving thousands of miles between jobsites, or how many hours are required to provide remote service. Without proper technology and a team in place for analysis, this data can go to waste. Using information gathered through connected vehicle solutions, fleets can leverage data science to transform unstructured data into actionable insights that enable better, more profitable decision-making surrounding vehicle management, fleet health and driver safety.
The availability of more data also enables A.I. capabilities. As we continue to gain more real-time data in the fleet industry in 2019, we can expect more self-correcting systems to be developed.
2. The Internet of Things (IoT)
Autonomous driving is a prime example of IoT that combines inputs from a multitude of sensors in real time along with highly advanced control systems and A.I. Highway driving is the most logical fit for autonomous driving implementation, which is why we expect fleets to be deploying this technology first before widespread consumer adoption.
3. Blockchain
Blockchain technology creates a transparent and immutable ledger, digitally documenting the transaction history between all parties involved in the blockchain. Specific to fleet telematics, blockchain technology will offer greater accounting transparency and will allow for more automated payments and settlements between businesses, drivers and vendors.
This article was contributed by Ananth Rani, chief executive officer and co-founder of Azuga.
