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Scenario
Helios logisticsHuman + AI Logistics
Executive perspective · CxO & board
Modeled payoff: capacity back to plan within three quarters.
Key question
What must I decide, and what is at stake?
Key message
This is the bet's expected return before you commit budget to it.
Recommended actions
- Model — Human + AI Logistics
- Decide — Stabilize schedules (fixed shift patterns + 2-week visibility)
- Target — Revenue Protected
Related objects
Executive overview · Business value · Exposure · Decisions · Outcomes
Business value
$28.0M revenue protected
Exposure
$42.0M at risk · 4 quarters
Decision
Stabilize schedules (fixed shift patterns + 2-week visibility)
Outcome
projected · next 4 quarters
An AI scheduling agent proposes stable, fatigue-aware rosters; human dispatchers approve and handle exceptions. Modeled forward over certified reality to project the attrition and capacity effect.
Scenario
Human + AI Logistics
An AI scheduling agent proposes stable, fatigue-aware rosters; human dispatchers approve and handle exceptions. Modeled forward over certified reality to project the attrition and capacity effect.
Schedule stability uplift: +35%AI roster adoption: 70% of depotsAttrition elasticity: -1.3
Controllable attrition down ~8.5 pts; capacity restored to plan within 3 quarters.