机器学习与因果分析方法提升航空公司客户满意度
机器学习
2024-05-16 v1 统计方法学
摘要
本研究探索了提升航空公司客户满意度的措施，这是维持客户和建立品牌声誉的关键因素，对收入增长至关重要。通过结合机器学习和因果推断方法，我们examining service improvements 对客户满意度的具体影响， focus on online boarding pass experience。通过对 several predictive and causal models 的详细数据分析，我们展示了数字方面 customer service 的改进显著提升了整体客户满意度。这篇论文highlight how airlines can strategically leverage these insights to make data-driven decisions that enhance customer experiences and, consequently, their market competitiveness.
关键词
引用
@article{arxiv.2405.09076,
title = {Enhancing Airline Customer Satisfaction: A Machine Learning and Causal Analysis Approach},
author = {Tejas Mirthipati},
journal= {arXiv preprint arXiv:2405.09076},
year = {2024}
}
备注
7 pages, 19 figures