AI-Driven Predictive Analytics in Retail: Enhancing Customer Engagement and Revenue Growth

Authors

  • Ravi Kumar Kota Athene Annuity and Life Insurance Company, USA Author
  • Arun Ayilliath Keezhadath Amazon Web Services, USA Author
  • Dharmeesh Kondaveeti Conglomerate IT Services Inc, USA Author

Keywords:

AI-driven predictive analytics, machine learning, customer segmentation, Snowflake

Abstract

Retail sector is transformed by AI-driven predictive analytics which utilises machine learning models and cloud-based platforms to enhance customer engagement and revenue growth. This research paper examines the integration of advanced ai methodologies like deep learning and reinforcement learning with scalable data architectures such as Snowflake and data breaks to optimise customer segmentation, demand forecasting, and personalised marketing strategies.

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Published

14-02-2021

How to Cite

[1]
Ravi Kumar Kota, Arun Ayilliath Keezhadath, and Dharmeesh Kondaveeti, “AI-Driven Predictive Analytics in Retail: Enhancing Customer Engagement and Revenue Growth”, American J Auton Syst Robot Eng, vol. 1, pp. 234–274, Feb. 2021, Accessed: Dec. 12, 2025. [Online]. Available: https://ajasre.org/index.php/publication/article/view/17