Artificial Intelligence model for analyzing buying patterns of customers

02 May 2022, Version 1
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

This study aims to incorporate Artificial Intelligence (AI) for analyzing buying patterns of customers and different factors that are playing its role. By discovering the important factors which contribute towards changing patterns. In order to study, a survey has been conducted for this analysis. Selected data-set consists of four attributes i.e. gender, age, estimated salary and purchased. These factors are used as input to AI model. The data-set consists of 400 members. 80% of the data has been used for the purpose of training and data has been used for testing purpose is 20%. Experimental results have shown that that model has achieved 90% accuracy. It means AI has contributed a lot towards this changing behaviors and approach of the customers during online shopping.

Keywords

Artificial Intelligence
Social media platforms
Online shopping
Analysis

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