A systematic review of the applications of applied mathematics to enhance artificial intelligence systems in data analysis for E-commerce

Abstract

This paper carries out a systematic review of the use of mathematics to augment applied artificial intelligence systems with a specific use case in data analysis in e-commerce. With the growth of e-commerce, there is an ever-increasing need for AI systems within businesses to make sense of large volumes of data and analyze them strategically to make choices. Through a survey of a variety of branches of mathematics such as linear algebra, statistics, and mathematical analysis, this paper demonstrates the potential advantages and effectiveness of predictive models used by AI in e-commerce. The paper will also mention the issues that a researcher encounters while trying to bring together these mathematical methods and intelligent algorithms.