AI and Predictive Analysis: A Case Study of Customer and Transaction Data

Authors: Hari Prasad Bomma

DOI: https://doi.org/10.5281/zenodo.14785918

Short DOI: https://doi.org/g83sxm

Country: USA

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Abstract: Predictive analytics involves using data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on past data. It's about making informed guesses about what might happen next. The exploration of AI-based predictive analysis on customer and transaction data represents a significant opportunity for companies. This research paper explores the application of AI-based predictive analysis techniques to customer and transaction data, highlighting the potential benefits and challenges of this approach. In this paper we will see a case study that used AI predictive analysis to enhance the decision-making and improving customer experience.

Keywords: AI, Predictive analytics, Descriptive Analytics, Diagnostic Analytics, Prescriptive Analytics, Regression Models, Decision Trees, Ensemble Methods, Neural Networks, Support Vector , Machines (SVM), Bayesian Models, Clustering Models, Time Series Models, Association Rule Learning

Paper Id: 232093

Published On: 2025-01-07

Published In: Volume 13, Issue 1, January-February 2025

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