July 1, 2022, 1:11 a.m. | Martin Huber, Jonas Meier, Hannes Wallimann

stat.ML updates on arXiv.org arxiv.org

We assess the demand effects of discounts on train tickets issued by the
Swiss Federal Railways, the so-called `supersaver tickets', based on machine
learning, a subfield of artificial intelligence. Considering a survey-based
sample of buyers of supersaver tickets, we investigate which customer- or
trip-related characteristics (including the discount rate) predict buying
behavior, namely: booking a trip otherwise not realized by train, buying a
first- rather than second-class ticket, or rescheduling a trip (e.g.\ away from
rush hours) when being offered …

analytics artificial artificial intelligence arxiv business business analytics effects intelligence

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