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Artificial Intelligence-Based Customer Behavioral Analysis

Year: 2025

Type: article

Abstract: This paper presents an Artificial Intelligence (AI)-based approach for analyzing customer behavior to help businesses understand purchasing patterns and improve decision-making. Machine learning algorithms such as classification and clustering are applied to predict customer segments and trends using historical data. The system uses Python, TensorFlow, and Scikit-learn for data processing and model training. Experimental results show that AI improves customer behavior prediction accuracy, helping businesses enhance marketing strategies and customer satisfaction

Source: International Journal of Advanced Research in Science Communication and Technology

DOI: 10.48175/ijarsct-29732

Authors: Aryan Prashat Bhabad, Sagar Lalchand Takalkar, Mohd Shaimaan Shakil Shaikh, Prof. V. H. Date

Language: English

Topic: Customer churn and segmentation

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W4416059879

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