Short-haul flights can be energy inefficient, and therefore costly. One company looked for an AI-driven solution.

1. PRIVATE & CONFIDENTIAL
Identified specific
guidelines for reducing
fuel cost in short-haul
flights by 2.7%.
DISCOVERX > DATAX > DEVELOPX
CHALLENGE
ACTION
Because they involve a high proportion of energy-torching takeoff
and landing maneuvers, short-haul flights can be energy inefficient
and therefore costly. The client wanted to know if their extensive
recorded flight data could provide any value towards boosting fuel
efficiency for these short-haul flights.
DISCOVERX
CrowdANALYTIX identified the latent value in the client’s data and
determined that it could be used to identify ways to reduce fuel
consumption.
DATAX
Converted raw data from the flight data recorders into specific features
that impact fuel usage in short-haul flights.
DEVELOPX
Identified the optimal model for predicting fuel efficiency and used it to
determine the top factors that result in the most efficient flight, for
example the optimal angle of climb or the optimal cruising speed for
enhanced fuel efficiency.
AEROSPACE
LOCATION DATA
DATA USED
SENSOR DATA
1