Stop Driver Turnover Before It Happens
What if you could predict which drivers will quit 90 days before they leave? Our AI-powered churn prediction identifies at-risk drivers early, giving you time to intervene, address concerns, and save your best talent.
The Hidden Cost of Losing Good Drivers
Every driver who quits costs you more than you think. Prevention is always cheaper than replacement.
£6,300
Cost Per Quit
Recruitment to productivity
8 Weeks
Training Time
Before full productivity
23%
Annual Turnover
Industry average
90 Days
Early Warning
Time to intervene
AI That Reads the Warning Signs
Our machine learning models analyse dozens of behavioral signals to predict churn risk with 87% accuracy
Data Collection
Continuous monitoring of driver behavior, performance, and engagement patterns
AI Analysis
Machine learning algorithms identify subtle patterns that predict turnover risk
Early Warnings
Automated alerts with specific intervention recommendations for at-risk drivers
What Our AI Monitors
Performance Changes
- Declining efficiency scores
- Increased safety incidents
- Customer complaint spikes
Engagement Patterns
- Reduced app usage
- Less team interaction
- Skipped training sessions
Behavioral Shifts
- Increased absence requests
- Schedule inflexibility
- Communication changes
External Factors
- Route satisfaction
- Earnings concerns
- Market competition
Risk Levels & Intervention Strategies
Tailored actions for every risk level to maximize retention success
Low Risk
Stable, engaged drivers with strong performance
Recommended Actions:
- • Continue recognition programs
- • Offer growth opportunities
- • Regular check-ins
Medium Risk
Warning signs detected, intervention needed
Recommended Actions:
- • Schedule one-on-one meeting
- • Address specific concerns
- • Improve work conditions
High Risk
Immediate action required to prevent departure
Recommended Actions:
- • Emergency retention meeting
- • Consider role adjustments
- • Retention bonus/incentives
Intelligent Retention Dashboard
Everything you need to keep your best drivers on your team
Real-Time Monitoring
Risk Score Dashboard
Visual overview of your entire fleet's retention health
Smart Alerts
Instant notifications when risk levels change
Trend Analysis
Historical patterns and predictive insights
Intervention Tools
AI Recommendations
Personalized retention strategies for each driver
Action Templates
Pre-built intervention plans for different scenarios
Success Tracking
Monitor intervention effectiveness and ROI
Churn Prediction ROI
See how much you could save by predicting and preventing turnover
Average Fleet (50 drivers)
11 drivers quit annually
£69,300 turnover cost
Save 8 drivers = £50,400
Large Fleet (200 drivers)
46 drivers quit annually
£289,800 turnover cost
Save 37 drivers = £233,100
Enterprise (500 drivers)
115 drivers quit annually
£724,500 turnover cost
Save 92 drivers = £579,600
Stop Losing Your Best Drivers
Join the companies using AI to predict churn and save their top talent before it's too late.