DCR
99.1%Target ≥ 98.8%Healthy
OVERVIEW
Fleet performance
One operating view across driver performance, risk, data quality and coaching.
Fleet health88/100↑ 3.1 points
Active drivers36Across 3 sites
High risk3Needs attention
Data confidence96%Trusted records
POD
97.8%Target ≥ 98.0%Watch
IADC
87.1%Target ≥ 80%Healthy
FICO
812Target ≥ 790Healthy
eMentor
834Target ≥ 815Healthy
Concessions
1.34Lower is betterMonitor
Performance trend
Combined fleet score versus weekly target
Fleet performanceTarget 85
Driver risk
Current prioritisation model
3high risk
Low risk28
Medium risk5
High risk3
Drivers requiring attention
Prioritised by repeated failures and score deterioration
| Driver | Site | Performance | POD | IADC | Risk |
|---|---|---|---|---|---|
AA Alex AdamsTRID1001 | DXS1 | 70 | 96.8% | 78.0% | High |
EG Elena GrayTRID1007 | DLS2 | 79 | 97.4% | 78.0% | Medium |
KM Kara MorrisTRID1013 | DLS2 | 79 | 98.0% | 78.0% | Medium |
LN Liam NolanTRID1014 | DLS2 | 71 | 98.1% | 85.0% | High |
PS Priya ShawTRID1019 | DLS2 | 79 | 98.6% | 78.0% | Medium |
AA Alex AdamsTRID1025 | DXS1 | 79 | 97.2% | 78.0% | Medium |
Management actions
Recommended next steps from current evidence
01
Coach high-risk POD drivers
3 drivers have repeated quality or compliance deterioration.
02
Review IADC exceptions
Check drivers below the operational compliance threshold before next route.
03
Resolve unmatched TRIDs
Keep identity mapping complete before weekly scorecards are finalised.