TripAI's platform uses algorithms and AI to predict fuel burn and emissions across multiple stages of flight operations, providing a forward-thinking solution that helps airlines reduce fuel consumption and address emissions.TripAI became an OAG customer in the summer of 2022, needing their reliable and detailed historical emissions data to feed into its algorithms, and the right environment to access and use data for MLAI purposes. Since implementation, the accuracy of TripAI’s emissions measurements have improved significantly.
Today, we speak to the team at TripAI to discover how they are helping travelers make more informed decisions, and encouraging more eco-friendly choices across the board using Flight Info Direct from OAG.
What is the TripAI Emissions Predictions (EP) primarily doing to help the travel industry?
Utilizing our extensive experience in the aviation industry, we have developed a model that achieves optimum aircraft center of gravity calculations - meaning that the fuel consumption is reduced and carbon emissions minimized. The EP platform primarily aids airlines in reducing their carbon emissions by providing detailed insights at aircraft level. For route and network planners, the API feed from the platform integrates directly into planning software.
By adopting cloud infrastructure and tools, EP can scale its capabilities to meet small, medium, and large requirements, enabling TripAI to leverage this technology and achieve its objectives efficiently.
Who does EP benefit?
The product developed by TripAI directly benefits the aviation industry, particularly airlines and cargo airlines that operate older aircraft and are looking to achieve fuel savings and reduce emissions. The opportunities span the entire airline ecosystem, benefiting load planners, flight dispatchers, route planners and more.
While initially focused on helping airlines manage and reduce their emissions internally, our goal is to provide an offsetting solution in the future by providing our partners with an API that they can integrate into their own systems and applications.
How do you optimize fuel savings for aircraft load, and have you seen wide adoption across the industry?
TripAI aggregates data from multiple third-party sources to provide our customers with the information they need to reduce their carbon footprint. We use the data to reduce tonnes of CO2 emissions by calculating the optimum aircraft center of gravity, whilst also reducing fuel burn by using AI.
We have received really positive and encouraging feedback from our early pilot program group and are actively engaging with nearly 100 carriers.
What is the Optimum Aircraft Centre of Gravity?
The optimal aircraft center of gravity refers to the ideal balance point at which the weight of an aircraft is distributed evenly to ensure stable flight performance. The center of gravity affects various aspects of an aircraft's flight, including its stability, maneuverability, and fuel efficiency.
The calculation of the optimal aircraft center of gravity involves considering factors such as the weight and balance of the aircraft, the payload, the fuel load, and the desired flight characteristics. By achieving the optimal aircraft center of gravity, airlines can improve fuel efficiency, reduce emissions, and enhance overall flight safety.
Let’s take a closer look at Trip AI’s tech stack.
Could you give a little more detail on how you use Flight Info Direct and how that incorporates into your solution?
Our process utilizes advanced technology to extract OAG’s historical emissions data, by flight phase, route, fuel burn and more, from Snowflake. The extracted data is then transformed into CSV format using state-of-the-art data conversion techniques, ensuring data accuracy and consistency. We store the transformed data in a secure and scalable AWS S3 bucket, utilizing industry-standard security protocols and redundancy mechanisms for optimal data protection and disaster recovery.
To make intelligent predictions, we utilize AWS Sagemaker, an advanced machine-learning platform, which leverages complex algorithms and neural networks to analyze large volumes of data and identify hidden patterns and trends. Snowflake is seamlessly connected to AWS servers using QuickSight, a data analytics and visualization tool, which provides real-time insights into the extracted data, enabling rapid decision-making and business growth.
Our mobile and web application harnesses the power of Snowflake data feeds and AWS QuickSight Services, providing users with a robust and scalable solution for data-driven decision-making. This sophisticated application allows users to easily access and analyze critical data in real-time, enabling them to make informed decisions and stay ahead of the competition.
How do you utilize the cloud (AWS) to deliver on your initiatives?
AWS serves as TripAI's technology partner, enabling us to rapidly implement our product and scale it according to our needs.
With a vast resource pool, secure architecture, and tailor-made infrastructure, AWS is the ideal platform for both our back-end and front-end requirements, given the scale and complexity of the data we are dealing with.
How is OAG helping TripAI move towards more eco-friendly and cost-effective flight experiences? How are you working together?
OAG data has proven to be incredibly successful in helping us create our models and algorithms that can help airlines reduce their emissions at flight level. By leveraging OAG's accurate and reliable data, we have been able to improve the accuracy of our emissions predictions and help industries reduce their carbon footprint.
AI and ML have allowed us to process vast amounts of emissions data quickly and efficiently, identifying patterns and trends that would have been impossible to detect manually.
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