Day & Ross: Shifting from Reactive to Predictive Fatigue Management
How one of North America's largest fleets leveraged AI-powered predictive analytics to identify driver fatigue 18 hours in advance, without cameras or wearables.
The Challenge
Moving Beyond Reactive Safety
Fatigue is a leading contributor to catastrophic safety events in long-haul and overnight operations. Day & Ross needed to proactively mitigate risk before drivers get on the road—not respond after incidents occur.
The solution had to be non-invasive (no cameras or wearables) and integrate seamlessly into existing dispatcher workflows, without disrupting operations.
Highest-Risk Window
65%
of all drive hours occurred between 7 PM and 7 AM—the peak fatigue danger zone.
The Solution
Readi™: Predictive Fatigue Intelligence
AI-Powered Predictions
Hourly fatigue scores forecasted up to 18 hours in advance, giving dispatchers a critical planning window.
ELD Integration
Full technical integration with PeopleNet/Platform Science for live drive and rest data streaming.
Proactive Interventions
A digital dashboard for dispatchers to log countermeasures (rest breaks, route adjustments) in real time.
Pilot Results
Pilot Success Metrics at a Glance
70%
Driver Participation
Surpassed the 60% goal in assessment completion.
155
Drivers Mapped
Real-time sync between Readi and PeopleNet.
226
Countermeasures Logged
Fatigue interventions recorded by supervisors during the pilot.
15min
Sync Cycle
Real-time PeopleNet duty status update frequency.
Social Proof
Voice of the Team
"Readi has helped drivers become more self-aware of how they are feeling... taking breaks before I even reach out to them."
— Ashley Blais, Supervisor
"This pilot proved to be a valuable step in proactive fatigue risk mitigation. Our dispatchers found the platform easy to use, and we saw clear momentum."
— Laura Dickinson, VP Safety & Compliance, Day & Ross
77%
Driver Approval
Rated discussing fatigue levels with supervisors as "Very Helpful" or "Somewhat Helpful."
Key Lessons
Insights for Fleet Expansion
1
Direct Communication
Using SMS for questionnaire delivery increased response rates by 30%, proving channel choice matters for driver engagement.
2
Cultural Shift
Predictive data encourages self-management, where drivers proactively manage their own rest before supervisors intervene.
3
Actionable Data
Creating a TARP (Trigger Action Response Plan) helps supervisors standardize interventions and respond consistently to fatigue alerts.
How It Works
From Data to Safer Roads
The Readi™ platform transforms raw drive and rest data into actionable fatigue intelligence, giving dispatchers the foresight to intervene before risk becomes reality.
Participation & Engagement by the Numbers
Exceeding Every Benchmark
The Day & Ross pilot surpassed targets across every key metric. Driver participation cleared the 60% goal, 155 drivers were mapped in real time, and 77% of drivers found fatigue conversations with supervisors genuinely helpful.
All three primary pilot KPIs were met or exceeded.
Ready to Predict Fatigue Before It Becomes a Risk?
See how Readi™ predictive fatigue management can reduce risk, improve driver wellbeing, and transform safety culture in your fleet, without cameras or wearables.
18-Hour Foresight
Identify fatigue risk well before a driver's shift begins.
Non-Invasive
No cameras, no wearables—just intelligent data integration.
Proven Results
70% participation, 226 countermeasures, and executive endorsement.