AI- Private Jet (V1Jet)

PROBLEM

25% of private jet flights are empty because they have to reposition the plane at the base. Available empty legs are posted on the National Business Aviation Association (NBAA) website in the form of an unstructured email. Brokers have to spend a lot of time researching availability on the NBAA website and often miss out on opportunities as the best deal could happen later in the day.

APPROACH

Using AI with natural language processing, we analyzed the unstructured text in the emails to identify the factors that could be used to feed the recognition models. A recognition model was developed which allowed the content of an e-mail to be recognized with an accuracy of 99% and thus automatically detected the presence of available flights. The search is done automatically and if there is a flight available in the emails the system automatically offers it to the broker.

RESULTS

The system was put into operation for a v1 jet which was bought by Jet Rebellion. Delta Airlines is a major user and all of the largest operators in the private jet industry in the United States are users.

EXPERTISE USED

COGNITIVE ANALYSIS
USER RESEARCH
PROCESS REDESIGN