Making a difference
with data and analytics
Market Driven Network Planning
Based on client owned data, publicly available data and industry shared booking data we simulate passenger demand and market development for hub airlines, that serves as the basis for their network planning.
Use analytics to understand and reflect a passenger’s journey on airline websites, to understand what they buy at what time or not.
Calculating the discounted dissatisfaction index of passengers, that choose to leave a specific airline out of frustrations.
Use passenger and revenue data to understand their wishes and reasons for travelling, to create a better offering for their specific travel needs.
GDPR Compliant Data Warehousing
In preparation of GDPR regulations we created a data sourcing and warehousing architecture that ensured data privacy of passengers.
Personalization Data Architecture
Based on passenger personalization use cases we design and implement data warehousing and relevant data-source integrations.
Develop Analytics Infrastructure for Operations
Based on analytical use cases regarding airline operations for the Lufthansa Group, we design the data warehousing set-up, define change requests and implement data warehousing and data base relations.
With airline clients we develop a machine learning solution that suggests the most optimal decisions to OPS controllers – based on historical data – to have smooth daily operations with limited disruptions.
Critical carry-on flights
Predict critical flights regarding overloading of hand baggage, that will cause onboarding delays.
Predict no-shows and postpone loading of their bags, to avoid delay because of offloading.
Predicted Boarding Times
For increased passenger convenience we combining reference models with live delay information, to predict the beginning of boarding.
zeroG Camp 2019 - Building Ideas Together
This year we organized our very first zeroG Camp which took place over the course of three days in November and brought our growing team of 60+...Read more
Winning SWISS AI Hackathon 2K19 - Predicting Rotational Delays
Predicting 24 hours in advance flight rotation delays, this was the challenge of this years AI Hackathon organised by SWISS. Read more to learn what...Read more