40% Lower Aircraft Downtimes With #PredictiveAnalytics
Details about the project
AI/ML For Predictive Maintenance Of Aircrafts
A leading Aerospace & Aviation giant turned to Codewave for an innovative solution: an intelligent system to predict aircraft health and schedule maintenance proactively, ensuring top-notch safety and reliability for flights. Frustrated with outdated maintenance methods reliant on periodic checks or reactive fixes, they faced soaring costs and downtime risks. They knew there had to be a smarter way to safeguard their assets and that of their customers.
| Date: | February 2024 |
|---|---|
| Year: | 2023-2024 |
| Project: | AI, ML, Predictive Analytics |
| Customer: | Aerospace Giant |
| Link: | Clutch Review |
Vision: Improve Safety & Reliability of Aircrafts
Their challenge to us was clear: develop a cutting-edge system capable of gathering real-time sensor data from aircraft, analyzing patterns, and predicting maintenance needs. They needed the system to predict what to stock up in the inventory and optimize spare parts procurement based on predicted maintenance requirements. Our solution aimed to slash maintenance costs, boost operational efficiency, and minimize disruptions.
Outcomes and impact
Cost Reduction
By shifting from reactive to proactive maintenance, the company projected a significant reduction in maintenance costs, saving resources that would have otherwise been spent on costly repairs.
Downtime Minimization
With the ability to predict the Aircraft’s maintenance needs in advance, the company projected fewer instances of unplanned downtime, resulting in improved aircraft availability and reliability.
Enhanced Safety
By ensuring timely maintenance based on predictive insights, the company maintained safety standards, providing passengers and crew with greater peace of mind during flights.
Customer Value
The implementation of predictive maintenance lowered costs and maximized Value & ROI for customers who bought Aircrafts from the company.