AI in Aviation
AI in the Aviation Industry
We assist companies in the aviation industry in effectively leveraging data science, machine learning, and artificial intelligence (AI) to enhance products and services, optimize processes, and identify new business models.
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We support aviation companies along their data and AI transformation
Your Experts for AI in Aviation
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
Dynamic Pricing
Automatically adapt your prices to the demand behavior of individual customers (groups) or external factors.
Automatically adapt your prices to the demand behavior of individual customers (groups) or external factors.
Utilization Forecast
Reliably forecast the utilization of future transport capacities in order to be able to take suitable measures at an early stage.
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.
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.
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.
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.
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.
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.
Use modern chatbots and digital assistants to improve customer satisfaction.
Our advantage
500
Data and AI Projects
successfully realized
100
Customers
from 10 industries
85
Experts
from 17 fields of study
10
Years of experience
in Data Science, ML and AI
Partners, Tools & Technologies
Contact your experts for AI in aviation
Would you like to exchange ideas with us on topics related to data science, machine learning and AI in the aviation industry? Or do you already have a specific project in mind? Our AI consultants are looking forward to meeting you.
