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.

Stop Playing ‘Whack-a-Mole’ When Addressing Driver Risk

Safety teams can find themselves in a cycle of reactively assigning driver training to seemingly unrelated individual road incidents. A driver is flagged for harsh braking, then following distance, then merging and so on. It can be difficult to see what behaviors are most indicative of potential crashes and drivers can feel defensive or overly watched.

Idelic’s Safety Suite Platform shows patterns in driver behaviors before incidents occur. This gives safety teams the proactive insights they need to prioritize driver intervention and engage with drivers to improve specific habits to measurably reduce risk.

See the Biggest Risks and Prioritize Intervention

Most fleets have limited resources to address every safety incident effectively. With so many incoming data points, system alerts, score carding methodologies etc…prioritizing which drivers and terminals need the most attention to avoid accidents can be difficult.

Idelic’s Safety Suite Platform provides you with a highly visual view of which drivers are most likely to get into an accident within the next 90 days. This provides enough time to engage with drivers to change behavior and focuses efforts on the largest potential risks.

Proven Crash Reduction

Accidents after three months ⇣ -11.3%

Accidents after twelve months ⇣ -20.3%

Idelic Safety Suite Platform

Machine learning (ML) powered predictive analytics and best-in-class coaching solutions, help connect safety, operations and driver teams to transform everyday safety initiatives into fleet or insurer portfolio wide loss reduction.