Machine Learning Models for Dynamic Pricing Strategies in Credit Card Services
Keywords:
Machine learning, dynamic pricing, credit card services, predictive modeling, customer behavior, financial analyticsAbstract
Since the credit card services industry is highly competitive, it is important that financial institutions use dynamicpricing techniques in order to price credit card services according to consumers’ demand and other marketparameters. We examine how the introduction of ML
References
Alaoui, M., et al. (2019). Personalized pricing strategies using machine learning. Journal of Revenue Optimization, 7(3), 45-57.
Amin, H., et al. (2020). Customer segmentation for credit card pricing using machine learning techniques. International Journal of Financial Studies, 12(4), 233-245
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Published
2020-10-15
How to Cite
Abraaz Mohammed khaja. (2020). Machine Learning Models for Dynamic Pricing Strategies in Credit Card Services. Journal of Computational Analysis and Applications (JoCAAA), 28(6), 57–65. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3091
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