Using Aviation Data Better



What motivates us is helping airlines innovate using data, so that more people can afford to fly to the 4 corners of the world. There are many opportunities for airlines to lower costs and deliver better customer experiences through operational & process improvements. In return they can increase passenger confidence and build brand preference and loyalty. That's why our passion is to create innovative and intelligent software solutions and products that bring clever thinking into aviation. Our clients share this same passion with us and become trusted long term partners. We bring years of knowledge and experience in airline operations and aircraft maintenance processes. We work with subject matter experts to productise solutions that dramatically improve operational efficiency and make them available for the benefit of the wider aviation community.


Since 2000 FORLOOP have been innovating with software solutions in Australia and overseas. In 2007 we started working with successful low cost airlines and have never looked back. Today, C-level execs and Heads of Business Units talk to us about their strategies and outcomes they need to achieve. Our approach is simple: Start with the end in mind. Understand the opportunity. Process information and seek to comprehend. Design creative strategies and deliver innovative fit for purpose solutions. Maintain a creative and dynamic way of doing business. Deliver measurable improvements across multiple business units. Repeat. Our success is measured by delivering successful outcomes and how well we grow and maintain long lasting relationships.






40 MIL+


3 BIL+


Using Data Better

Most innovative solutions and operational problems can be solved with the better use of data.  Artificial Intelligence, Machine Learning and Predictive Analytics are the enablers. By removing the reliance of manual processes and spreadsheets, an airline can take full advantage of AI and ML. Machine learning looks for patterns in activities, and predicts what will happen next. So rather than respond to each incident manually, the machine prompts the user and asks them “do you want me to do this?”. Now that’s smart. Improving airline operations, and becoming more efficient and quicker to respond. Make better decisions to delight your customers.

You have the data, we have the methodology

Now is the time to use AI & ML in innovative ways to scale up operations and soar. It’s time to embrace the future. Are you ready for take off?

    • A smart system to help your planners and ground staff work collaboratively and efficiently to manage maintenance needs across ports in one place. 


    • An automated and intelligent solution to detect and manage your warranty claims process end-to-end for your entire fleet.


    • An intelligent solution to manage loadable software for all NEXT GENERATION aircraft models


    • We are good problem hunters and help find or create high value solutions that deliver measurable benefits. We implement the roadmaps to deliver and maintain the solutions we propose 

    Aviation Solution Consulting

    • Predictive Analytics and Machine Learning applications uncovering information in your data, leading to new insights opportunities 

    Data Analytics / Machine Learning

    • An analytics platform that enables users to obtain meaningful information from disparate data sources providing:



We work with subject matter experts to productise AI & Machine Learning solutions that dramatically improve operational efficiency and make them available for the benefit of the wider commercial aviation community.

  • All
  • Service Solutions
  • Product Solutions


  • Jetstar

  • IndiGo

  • GE Aviation

  • Bombardier



Why AI will always be superior to human judgement

A while back FORLOOP had an airline client who was at a loss around problems in relation to cabin risk analysis. Risk reduction was of particular concern, as the airline had no idea why some incidents were occurring more regularly than others, and whether issues were due to the equipment or the crew. FORLOOP’s AI platform was used to remove the limitations of human judgement.

Our airline client had years of hand written notes but didn’t quite know where to start. In fact, they had 5 years of written notes in varying degrees of detail.

They had concluded it would have been onerous for a person to look at the notes and make any sense of it. The task of properly interpreting all the information and coming to an accurate conclusion would have been near impossible. Apart from the sheer volume of data, human bias would have come into the analysis, perhaps creating false assumptions. The impact to the airline of getting it wrong was huge – both financially, and from an OH&S perspective.


FORLOOP’s team decided that the best methodology would be to digitise the handwritten logs across the entire fleet of aircraft. All the data was aggregated into a CORPUS, which generated topics and themes. This was done using Latent Semantic Analysis (LSA) and Linear Discriminant Analysis (LDA).

Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms. Linear Discriminant Analysis (LDA) is pattern recognition and machine learning to find a linear combination of features that characterizes or separates two or more classes of objects or events.

Both sets of analysis was run on FORLOOP’s AI platform, looking for keywords and trends. By using AI, the analysis could be done with an open mind, and widely. The process was to look for keywords and patterns, pose specific questions, and repeat the process over and over. Each time the parameters were adjusted until conclusions could be derived.

The end result for our airline client was that they had high risk in areas they had never even considered in the past. Keywords were coming up such as ‘Cabin crew injuring left shoulder’, ‘baro-trauma’, ‘cargo roller’, ‘microwaves’.

In business terms, they discovered that a recent price increase of passenger baggage fees to customers meant that passengers were sneaking on more hand luggage than before. This in turn created higher risk for the aircraft crew who were assisting in placing cabin luggage in overhead lockers – hence ‘cabin crew injuring left shoulder’.

A separate analysis revealed AI insights revealed an increase in microwave ovens break downs in aircrafts. A human may have incorrectly concluded that the equipment was at fault, when in fact the reason was the way the microwaves were being installed in certain aircraft types.



Without the use of AI, accurate risk reduction analysis would have been near impossible. FORLOOP’s AI platform was able to drill down and identify specific patterns, starting at the widest point, and drilling down to more specific questions as trends were identified.

When we talk about AI for commercial airlines, the application of AI is not always obvious. There is a misconception that AI can be expensive or should be a longer term project. Both are untrue. As long as there is data and the team can articulate the business problem, there is a possibility to use AI to find the root cause.

If your airline has specific problems which have been thrown into the ‘too hard’ basket, perhaps we can help you come up with a solution framework using AI.  Feel free to contact us for a chat, or Subscribe to our newsletter to for regular updates.


How AI & Machine Learning can help the Aviation Industry
| Alp Alim

FORLOOP’s Director of Technology, Alp Alim talks a little bit about how AI & Machine Learning has helped the aviation industry.