AI Actions
Data → Detection → Recommendation → Approval → Action → Result → Memory (Fleet Ledger)
Vehicle HYPR-104 service overdue by 3 days (brake). Last service 12 Aug, rule 3000km.
Recommendation: Create service booking for HYPR-104 tomorrow. Assign to Rahul's next off-shift.
Avoid unplanned downtime
Rider Rahul — 11 consecutive shifts, utilisation dropped 23% (81% → 62%) over 7d.
Recommendation: Rest day + reassign HYPR-087 to Amit for 2 days. Investigate downtime +14%.
7 vehicles will require charging before evening peak (15:00-19:00 surge, Battery <40%).
Recommendation: Stage 7 vehicles at charging hub by 14:00. Prioritise Zone 3.
Fleet utilisation down 8.4% vs last week. Primary: 6 vehicles inactive >48h (Hyderabad Zone 3).
Recommendation: Reallocate 6 idle vehicles to Zone 1. Estimated recovery ₹31,200 this week.
₹31,200 lost revenue risk
₹42,600 expected collections due today (12 bookings at risk).
Recommendation: Trigger UPI reminders for 3 riders. Flag 2 bookings for manual collection.
₹42,600 at risk
Execution writes back to Fleet Ledger. Reject keeps the signal for learning.