Adaptive Pricing Mechanisms in Consumer Banking: Reinforcement Learning Models for Real-Time Financial Product Valuation

Authors

  • Natalia Borisova Associate Professor of Artificial Intelligence, ITMO University

Keywords:

adaptive pricing mechanisms, consumer banking, reinforcement learning models, real-time financial product valuation, machine learning

Abstract

Dynamic pricing is a strategy that individualizes prices or offers to different customers based on their responsiveness and the prices offered and/or the product features. Based on the response to the first price offered, the firm may also choose not to offer a second price. There are three main types of dynamic pricing strategies. The first is to determine a sequence of prices in advance or to commit to a sequence of prices using information only on the first price realized.

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Published

31-12-2021

How to Cite

[1]
“Adaptive Pricing Mechanisms in Consumer Banking: Reinforcement Learning Models for Real-Time Financial Product Valuation”, Adv. in Deep Learning Techniques, vol. 1, no. 2, pp. 89–101, Dec. 2021, Accessed: Jun. 05, 2026. [Online]. Available: https://www.thesciencebrigade.com/adlt/article/view/757