Using data to predict maintenance

Zeuner’s former colleague Paul Boisseau-Villafuerte said it can be challenging for airlines to analyse, prioritise and evaluate the SB recommendations.

“It’s not easy to understand and it can be difficult to decide on purchasing the right mod kits at the right time to avoid bottlenecks in the supply chain and to reduce overall operational costs,” Boisseau-Villafuerte, Airbus’s former product manager for proprietary parts and kits, said. “To predict and forecast maintenance services is a challenging task.”

Boisseau-Villafuerte, now the lead FAL customer manager for Latin America, said a big part of what the kits team does is help customers make sense of service bulletins and respond accordingly.

“We want to help them make quicker decisions, order on time and prepare the optimal SB solutions,” he said. “In the end, we all want the same: excellent aircraft operational reliability, eliminating maintenance cancellations and, above all, avoiding AOG situations.”

The key to achieving those shared goals, he said, is efficient forecasting built on the right data. That’s where Skywise comes in. The open data platform helps customers gather and analyse information that allows them to make better decisions.

“The Skywise aviation data platform integrates all relevant fleetwide data, such as part replacements, flight plans, delays, and historical maintenance actions,” Boisseau-Villafuerte said. “The bottom line is it enables us to track trends on individual aircraft and address them before they become distributions.”

This helps customers prevent cancellations and minimise disruptions by leveraging in-service aircraft data to identify the root causes of operational issues.

Delivering modification kits on time is essential in the aviation industry to ensure smooth operations and minimize disruptions. The complexity of long lead times and a global supply chain requires close collaboration between manufacturers, suppliers, and customers. With tools like Skywise, which integrate fleet-wide data to predict maintenance needs and identify trends, customers can make informed decisions and avoid costly delays.

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Mod Kits and Service Bulletins: What you need to know