Our Defect Resolution AI Assistant helped a major airline improve fleet maintenance and maximize their capacity to fulfill their routes.
Estimated annual savings
Reduction in troubleshooting
Revenue unlocked
Nearly 140,000 flights were were cancelled in the US in 2024, potentially costing airlines more than $2bn. With so much at stake, keeping planes in service is vital.
KubrickUnlocking $14m with effective aircraft maintenance
The challenge
A global airline engaged Kubrick to reduce out-of-service events as a result of maintenance issues, helping maximize the ability to fulfil a demanding timetable of scheduled services, driving cost efficiencies and increasing revenue by getting more customers to their destinations on time.
The solution
Kubrick's Defect Resolution AI Assistant expedites the process of defect diagnosis and resolution while anticipating and optimizing maintenance work that minimized the risk of out-of-service events. To do this we:
- Implemented Medallion Architecture and Unity Catalog with Databricks to combine data from across siloed sources, including issue and defect logs, maintenance manuals, live aircraft data, and supply and inventory data.
- Used cutting-edge AI models to analyze and create context-aware recommendations on the most effective fixes.
- Integrated with a user-friendly AI chatbot with Databricks Genie to enable maintenance workers to source accurate resolutions instantly.
- Provided a dashboard suite to enable enhanced reporting and compliance on fleet status.
The results
Kubrick's work delivered a huge reduction in out-of-service events due to maintenance issues, saving $14m+ in delay compensation and fines. With more planes in the the sky, the client can maximize its fleet's capabilities, fly more customers to their destinations, reduce costs and drive revenue growth.
