May 16, 2024, 4:41 a.m. | Tejas Mirthipati (Georgia Institute Of Technology)

cs.LG updates on

arXiv:2405.09076v1 Announce Type: new
Abstract: This study explores the enhancement of customer satisfaction in the airline industry, a critical factor for retaining customers and building brand reputation, which are vital for revenue growth. Utilizing a combination of machine learning and causal inference methods, we examine the specific impact of service improvements on customer satisfaction, with a focus on the online boarding pass experience. Through detailed data analysis involving several predictive and causal models, we demonstrate that improvements in the digital …

abstract airline analysis arxiv brand building causal causal inference combination cs.lg customer customers customer satisfaction growth impact industry inference machine machine learning revenue revenue growth study type vital

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