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How an American Regional
Airline Transformed their
Fleet Reliability with
Veryon Defect Analysis

An American regional airline saw reductions in the time spent
researching their fleet, the number of repeat discrepancies,
& cost savings across their operation using
Veryon Defect Analysis.

Book a Demo

About This American Regional Airline

They are an FAA Part 121-certified air carrier with a fleet of over 130 aircraft consisting of Boeing 737, Q400 Dash 8, Embraer 175, and CRJ 900.



Company size 

3,400+ employees

Product used

Veryon Defect Analysis



20% Reduction

in repeat discrepancies

10X Reduction

in time spent researching the entire fleet

$400K Projected overall savings

in costs across the company

The challenge

This American regional airline had difficulty identifying and reporting recurring defects across their large fleet. When issues were reported, they were done manually and were prone to human error. This led to poor visibility into the historical data of their aircraft, making it more difficult to find and fix the root cause of the issue.

The outcome

By implementing Veryon Defect Analysis, this American regional airline gained visibility into the historical data of their aircraft enabling them to find the nature of repeat defects and fix the issues quickly and aggressively. With its natural language processing, artificial intelligence, and machine learning capabilities, human error became a non-issue.

"I realized the value long before we even had access to the test platform. When I saw the product demo, I knew exactly what I was going to be able to do with it."

Manager of fleet reliability

With a large fleet of aircraft to operate across their major airline partners – including American Airlines, United Airlines, and DHL – this American regional airline puts high importance on their fleet maintenance and reliability.

Their fleet reliability expert knew his team’s biggest challenge was keeping track of aircraft defects across the fleet. During the flight day when there’s an issue, pilots grab the logbook, call maintenance control, and report the defect where a “defect ID” is assigned.

With large fleets, things move quickly and spelling mistakes, abbreviations and miscoded ATAs occur throughout the logbooks making the reports on the history of the aircraft hard to read and understand – and likely not as detailed as they should be. All of this leads to increased difficulty for engineers to get to the root cause of the problem.

“I would go back through the history, and it was very hard to research. It wasn't robust. It wasn't complete. And it was very prone to human error.”

Unlocking aircraft history

Having visibility into the history of an aircraft is important because it helps diagnose the root cause of an issue. Once the root cause of an issue is known, the chance of that issue occurring again is very slim. Their fleet reliability expert needed a tool that could accurately capture the aircraft history so that his team could easily find and fix recurring defects.

He turned to Veryon Defect Analysis as the solution and used the data mining capabilities to better understand the history of the fleet. With Veryon Defect Analysis, he was able to dig into the defects and histories of the aircraft, analyze the data, and report to the engineers so they could improve the overall fleet health.

“With Veryon Defect Analysis, I can mine the data in so many different ways,” he mentioned. By being able to search, visualize, and analyze the fleet history, they were able to easily understand and improve their fleet health.


Saving time with visibility

Using Veryon Defect Analysis has significantly improved their time savings -- not only when it comes to searching discrepancies across their fleet, but also in the time it takes to fix repeat issues.

With a large fleet of over 130 aircraft, there are a lot of parts and items that need to be reported on daily. Being able to search and visualize fleet health can be critical to efficient operations.

Their fleet reliability expert mentioned that “by being able to identify the nature of the repeat issues and see what the history is of that defect, they can fix them a little bit more aggressively – and sooner.”

Eliminating human error

Veryon Defect Analysis uses natural language processing (NLP) and machine learning to analyze defect text, meaning it can detect synonyms, spelling mistakes and abbreviations. The software is then able to decipher the underlying context of the defect text allowing searches to be more accurate.

By reducing impact of human error, automatically identifying repeat defects and improving the accuracy of defect searches, this American regional airline experienced significant time savings when researching the history of the entire fleet.

“Veryon Defect Analysis is an absolute game changer. It used to take me 10-15 minutes to research a single item. Now, I can research my entire fleet in 10 minutes or less.”

Manager of fleet reliability

Cutting costs while improving safety

To evaluate the cost savings that Veryon Defect Analysis brought to this American regional airline, their fleet reliability expert broke it down into a four-part matrix:

  1. Delay Reduction:5-10 reduced delays per week.
  2. Cancels Reduction: 3 cancels per month.
  3. Safety Improvement: 10% reduction in incidents associated with safety events.
  4. Efficient Use of Parts: Reduction in ‘No Fault Found’ (NFF) charges, improved parts availability, and reduction in ‘Aircraft on Ground’ (AOG) events.

Seeing efficiency and safety improvements in these four areas, this American regional airline was able to attribute a total of ~$400K overall cost savings to the usage of Veryon Defect Analysis.



When this American regional airline struggled with identifying, reporting, and analyzing recurring defects across their large fleet, they turned to Veryon Defect Analysis and saw significant improvements across their aircraft safety and reliability.

Veryon Defect Analysis has enhanced the day-to-day operation and performance of this American regional airline. They can now view the history of their entire fleet, save time researching and maintaining their aircraft, eliminate human error while reporting, and experience significant cost savings across their entire operation.

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