Dynamic Pricing
Automatically adapt your prices to the demand behavior of individual customers (groups) or external factors.
AI in Aviation
AI in the Aviation Industry
We assist companies in the aviation industry in effectively leveraging Data and AI to enhance products and services, optimize processes, and identify new business models.
Trusted by Industry LEaders
Your Experts for AI in Aviation
We support aviation companies along their data and AI transformation
Hardly any industry has been as badly affected by the effects of the COVID-19 pandemic as the aviation industry. The demand for passenger flights, which has been growing again since then, poses major challenges for companies in the industry. Data science and artificial intelligence can be applied in a variety of ways to solve them.
In addition to its use in marketing for dynamic pricing, personalization of offers and segmentation of different customer groups, there are valuable use cases in development and production. Here, processes are digitized and optimized and machines are protected from costly breakdowns through predictive maintenance. The same use case is also suitable for optimizing the maintenance of the aircraft themselves. Reliable forecast models are essential for flight operations. The prediction of flight delays, the actual number of passengers and baggage, the required meals or other factors make it possible to take appropriate measures at an early stage. This ensures smooth processes and a high level of passenger satisfaction.
Our AI consultants have already implemented a wide variety of projects in the aviation industry and also support you in the development and implementation of data science, machine learning and AI projects in your company. Arrange a consultation to analyze your options and benefit from our experience from over 500 projects. We look forward to working with you!
Use cases of data science and AI in Aviation
Utilization Forecast
Reliably forecast the utilization of future transport capacities in order to be able to take suitable measures at an early stage.
Predictive Maintenance
Prevent machine or aircraft failures by detecting defects and maintenance requirements at an early stage.
Demand Forecast
Make reliable, early forecasts of future passenger volumes and transport requirements.
Arrival Prediction
Predict and track the expected arrival time of aircraft with data science and AI.
Quality Control
With data science and AI, you can identify quality defects in products or individual batches at an early stage.
Process Optimization
With data science and AI you increase the efficiency and transparency of your production processes.
Chatbots
Use modern chatbots and digital assistants to improve customer satisfaction.
Our strength
Our ecosystem enables a holistic view of data & AI.
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Tools, Partner & Technology
10+
years of experience in Data Science, ML, and AI
100+
clients from 10 industries and growing
85+
experts from more than 17 fields of study
1,000+
successfully implemented Data and AI projects
LLM Workshop and Inhouse Data Analysis for Experts
Our client wanted to train their data experts in a hands-on workshop to gain a deeper understanding of modern LLMs and their potential applications on company-owned data.
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Dynamic Pricing in Aviation
In close collaboration with our client, we reviewed and optimized a newly developed model for calculating price elasticities in this project.
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Demand Forecasting Logistics
In this project, we developed a machine learning model factory for forecasting customer demand in the B2B sector and implemented it into the client's IT infrastructure.
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Predictive Steering in the Aviation Industry
To assess future risks in an airline's operations, we worked with the client to develop an application that uses machine learning to provide predictive guidance for operations.
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Analysis of freight traffic flows in R Shiny
In this project, we supported our client in the production and evaluation of forecast results for freight traffic flows. An R Shiny application was developed for interactive graphical and tabular analyses.
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R Shiny App for Logistics Disposition
In this project, we developed an interactive web app for the disposition of transport demands using R Shiny and JavaScript, and implemented it into our client's IT landscape.
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Scaling of Forecasting Models
In this project, we implemented an existing model factory for demand forecasting of over 10,000 entities in parallel into our client's IT infrastructure.
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Prediction of Flight Delays
In this project, we collaborated with our client to develop a machine learning model that predicts flight delays to support the ground operations team.
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Dynamic Pricing with Reinforcement Learning
In this project, we developed an autonomous pricing system that can automatically control the bid prices for continental flights.
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Our services
AI Consulting
Our consulting services focus on both technical and methodological skills, data literacy, and data culture, utilizing interactive and inspiring learning methods. We provide training for beginners, specialists, and executives.
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AI Starter Offerings
Are you just beginning your data and AI journey? We offer various workshops, training sessions, and ready-to-use AI solutions that are perfect for taking the first steps with data science and AI.
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AI Solutions
We develop data science and AI solutions tailored to your requirements. We support you from the initial idea to the productive solution and ensure smooth operation thereafter.
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AI Trainings
Whether technical or methodological skills, data literacy, or data culture - our formats rely on interactive and inspiring learning methods. We train beginners, specialists, and executives.
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Contact your experts for AI in Aviation
01
Free consultation
Discuss your challenges and goals in the area of Data & AI with us.
02
Tailored offer
Receive a customized and transparent offer.
03
Presentation & contract award
We present our approach to all relevant stakeholders.
04
Onboarding with project team
Our dedicated project team takes care of your needs.
Frequently asked questions and answers
How can AI optimize pricing in the aviation industry?
AI enables dynamic pricing, where prices are automatically adjusted based on individual customer demand behavior or external factors. This leads to an optimized pricing strategy that maximizes both occupancy and revenue.
What role does predictive maintenance play in the aviation industry?
Predictive maintenance prevents machine or aircraft failures by detecting defects early. This reduces maintenance costs and increases the reliability of the aircraft fleet.
How does AI support the prediction of flight delays?
Through forecasting models, airlines can predict flight delays and take appropriate measures early on. This improves planning and increases passenger satisfaction.
How can AI enhance customer satisfaction in aviation?
Modern chatbots and digital assistants enhance customer satisfaction by providing fast and efficient customer service around the clock. This facilitates handling inquiries and complaints.
