Fuel Consumption Optimization
AI predicts better routes and operating conditions to reduce fuel burn in airline dispatch and fleet operations.
Business impact
- Flights with identified optimization opportunities — Alaska Airlines reported optimization opportunities on 55% of flights.
- Fuel saved — Alaska Airlines reported more than 1.2 million gallons saved in 2023.
Data requirements
- Airspace conditions (tabular) — Flyways predicts how airspace conditions will evolve.
- Historical operational data (tabular) — The airline planning platform uses past operational data for simulation and optimization.
- Network schedules (tabular) — Schedules are part of the inputs used to test more efficient plans.
- Punctuality records (tabular) — These records help evaluate schedule or routing choices.
- Airport constraints (tabular) — Constraints shape which routing or operating options are feasible.
- Truck-level risk alerts and operating information (tabular) — Operational Brain aggregates alerts and operating information into fleet intelligence.
AI methods and techniques
- Prediction — Flyways predicts how airspace conditions will evolve hours ahead so dispatchers can choose more efficient routes.
- Optimization — The systems recommend routing or operating choices that reduce fuel or energy use.
- Aggregation — Operational Brain combines truck-level alerts and operating information into fleet intelligence.
Industries
Real-world evidence
2 documented case studies on record.
Companies using this: Inceptio Technology, Alaska Airlines.
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