Use Analytics as a Force Multiplier for Identifying Risk
Easily identify drivers most likely to get into an accident within 90 days
Amidst the explosive proliferation of driving data, safety teams face daunting challenges in assessing driver risk with manual tools. The sheer volume from multiple sources, hidden connections, and dependencies overwhelm traditional methods like spreadsheets and scorecards.
Idelic’s predictive analytics leverage the most modern machine learning techniques, combined with massive amounts of real-life driving data, to produce dramatic improvements in driver risk prediction over manual methods. Our models combine knowledge from decades of driving data insights, with your fleet’s unique driving data patterns, to produce the industry’s most accurate tool for identifying 90-day driver risk.