SmartWitness has launched SmartAnalytics at the virtual Commercial Motor Show today, a new analytics software powered by artificial intelligence (AI) to provide better insight and actionable data for fleet managers.
The UK launch of SmartAnalytics follows on from an American pilot scheme involving 10,000 trucks: this saw a 15% average reduction in vehicle accidents; 30% increase in efficiency and productivity; and a 7% reduction in fuel and maintenance bills.
SmartAnalytics is a software upgrade to any SmartWitness video telematics solution that encompasses broader sources of data, simplifies fleet management and lowers risk.
With the use of AI and machine learning, large amounts of data are processed and contextualized in order to create a better understanding of driver behaviour in any fleet.
The software requires little to no human intervention and can process large amounts of data to provide the context and insight that fleet managers need to make better business decisions, reduce costs, improve driver safety and run their operation more efficiently.
SmartWitness UK head of sales Callum Crisp said: “Fleet managers are currently facing a significant data overload. With the myriad number of connected devices on trucks plus the various compliance, regulatory and business intelligence software, there is simply too much data to be processed by organizations.
He added: “SmartAnalytics boils down thousands of hours of drive data each week into reports and league tables which can be quickly and easily read. Only relevant videos are shared with fleet managers to act upon.”
As well as reducing hours of manual data checking, the AI algorithm reduces false positives via improved contextual analysis, according to SmartWitness.
“For example, if a driver triggered a harsh acceleration event, this would show up as negative feedback for their behaviour. But in the case that this event was triggered upon filtering onto a motorway, this behaviour should actually be considered “safe” as a necessary manoeuvre to enter the flow of faster moving traffic,” said Crisp.
"This is the value of an increased number of contextual data sources, and unlike traditional telematics software that just use two key data sources, G-sensor and GPS, Smart Analytics is able to take into account factors such as road type, elevation, weather conditions, traffic patterns, and differentiate between city and rural traffic density.”
How the SmartAnalytics Data Filtering Funnel Works
- Data – increased data sources give greater context – G-sensor, GPS are the start points just as with standard telematics, but SmartAnalytics also includes weather conditions, traffic patterns and density, road type and elevation.
- The AI Filter – scrubs, cleans and filters the raw data, and eliminates false positives by analysing and comparing with our sources.
- The Machine Learning Filter – identifies trends and patterns in your drivers’ behaviour and compares risk across your fleet and creates league tables. Over time with the comparison of historical information, the identification of events becomes even more accurate and predictive risk modelling assigns priority around the most at-risk drivers.
- Relevant Actionable Data - The delivery of concise and easy to digest league tables becomes the first stage at which a fleet manager becomes involved. At this point in the funnel, they are receiving relevant actionable insights that can then be used to help train drivers and identify risk factors in the business. And because this is all done using artificial intelligence that is completely objective, the results are consistent every time and delivered instantly.
Check out the Smat Witness Tech Talk at the online Commercial Motor Show this week to find out more!