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Success Stories
Client:
International Airlines
Irreversible component
reduced by
25%
Consistently maintained for both point-to-point an country wide predictions
Overall aircraft downtime reduced by
35%
Minimizing the cost
of spare parts and supplies
Problem
An international airline operating in western pacific region and deploying a fleet of 250 aircrafts wanted to reduce costs by now flight engine failure in advance to convert unscheduled maintenance to planned maintenance.
Solution
A proprietary self-learning, multi-modeling, predictive AI technology from Findability. AI was used to analyze the sensor data from aircraft.
External variables like meteorological conditions and structural specifications for materials used in aircraft components were factored to create accurate prediction model.