Generative Checkout Personalization Using Large Language Models

Authors

  • Bhargav Kumar Konidena Vintech Solutions, USA Author
  • Vijay Kumar Soni Discover Financial Services, USA Author
  • Gayathri Salem Selvaraj Amtech Analytics, USA Author

Keywords:

personalized checkout, large language models, generative UI, contextual commerce, one-click payments, reinforcement learning

Abstract

The objective of this paper is to present a framework based on Domain-adapted large language models (LLMs) which dynamically create UI configurations and API invocation schemas in response to real-time contextual signals like device specifications, basket contents, and network conditions for personalised checkouts. This system combines fine-tuned transformer structures and online reinforcement feedback to change payment flow, field order, interface tone, and authentication.

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Published

07-06-2022

How to Cite

[1]
Bhargav Kumar Konidena, Vijay Kumar Soni, and Gayathri Salem Selvaraj, “Generative Checkout Personalization Using Large Language Models”, American J Data Sci Artif Intell Innov, vol. 2, pp. 476–509, Jun. 2022, Accessed: Mar. 07, 2026. [Online]. Available: https://ajdsai.org/index.php/publication/article/view/83