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.
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
Our machine learning models analyse dozens of behavioral signals to predict churn risk with 87% accuracy
Continuous monitoring of driver behavior, performance, and engagement patterns
Machine learning algorithms identify subtle patterns that predict turnover risk
Automated alerts with specific intervention recommendations for at-risk drivers
Tailored actions for every risk level to maximize retention success
Stable, engaged drivers with strong performance
Warning signs detected, intervention needed
Immediate action required to prevent departure
Everything you need to keep your best drivers on your team
Visual overview of your entire fleet's retention health
Instant notifications when risk levels change
Historical patterns and predictive insights
Personalized retention strategies for each driver
Pre-built intervention plans for different scenarios
Monitor intervention effectiveness and ROI
See how much you could save by predicting and preventing turnover
11 drivers quit annually
£69,300 turnover cost
Save 8 drivers = £50,400
46 drivers quit annually
£289,800 turnover cost
Save 37 drivers = £233,100
115 drivers quit annually
£724,500 turnover cost
Save 92 drivers = £579,600
Join the companies using AI to predict churn and save their top talent before it's too late.
Join other UK delivery companies who've cut their admin time by 80% and eliminated platform costs completely.
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