Output
AI converts 148 staff into 31 trusted commute routes.
The plan is generated from staff density, verified drivers, route risk, arrival deadline, and the employer's optimization objective.
61
Solo cars removed
71%
Staff covered
23%
Late risk
₦9,125,600
Monthly savings
Daily route plan
Clusters, hubs, drivers, and backups
Lekki Phase 1 verified hub
30 staff assigned · 10 vehicles · 6:35 AM departure
Fit
76
Route risk
LowFallback
backup ready
Chevron verified hub
23 staff assigned · 7 vehicles · 6:33 AM departure
Fit
72
Route risk
ModerateFallback
backup ready
Ajah verified hub
20 staff assigned · 7 vehicles · 6:25 AM departure
Fit
72
Route risk
HighFallback
manual backup
Ikate verified hub
15 staff assigned · 5 vehicles · 6:46 AM departure
Fit
73
Route risk
LowFallback
manual backup
Yaba verified hub
17 staff assigned · 6 vehicles · 6:43 AM departure
Fit
72
Route risk
ModerateFallback
manual backup
Business case
9.1 tons
Estimated monthly CO₂ avoided
36
Verified employee-drivers available
AI warning
Balanced mode gives the best tradeoff between coverage, safety, and lateness reduction.
Why this needs AI
HR cannot manually optimize hundreds of staff addresses, route risk, arrival deadlines, safety preferences, driver availability, and fallback plans every morning.