USING AI TO PREDICT CONSUMER BEHAVIOR AND IMPROVE ROI

Implementation of artificial intelligence (AI) for customer behavior prediction has transformed the function of business organizations becoming familiar with customers and their response to them. In this article, the author discusses an overview of implementing AI technology in machine learning, predictive analytics, and natural language processing for the purpose of predicting customer behavior and decision-making. With the processing of large volumes of customer information, AI applications are able to understand patterns and trends in order to utilize them for making decisions for particular advertising campaigns, personalized presentation of products, and price optimization. The article further illustrates how the insights derived from AI offer better decision-making towards optimizing return on investment (ROI) for companies. With case studies and examples, this article is emphasizing how the power of AI is not just in forecasting customer behavior but also in enhanced resource optimization, enhanced customer retention, and sustainable business growth.

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Publication Details

Published
2025-07-19
DOI
https://doi.org/10.5121/csit.2025.151302
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

USING AI TO PREDICT CONSUMER BEHAVIOR AND IMPROVE ROI

Nasrin Nasr, Balaji Chandrasekaran, Ashwin Chadaga
Big Data and Business Intelligence
article

USING AI TO PREDICT CONSUMER BEHAVIOR AND IMPROVE ROI

Nasrin Nasr, Balaji Chandrasekaran, Ashwin Chadaga
article en

Abstract

Implementation of artificial intelligence (AI) for customer behavior prediction has transformed the function of business organizations becoming familiar with customers and their response to them. In this article, the author discusses an overview of implementing AI technology in machine learning, predictive analytics, and natural language processing for the purpose of predicting customer behavior and decision-making. With the processing of large volumes of customer information, AI applications are able to understand patterns and trends in order to utilize them for making decisions for particular advertising campaigns, personalized presentation of products, and price optimization. The article further illustrates how the insights derived from AI offer better decision-making towards optimizing return on investment (ROI) for companies. With case studies and examples, this article is emphasizing how the power of AI is not just in forecasting customer behavior but also in enhanced resource optimization, enhanced customer retention, and sustainable business growth.

Openalex Percentile: Top 68%
Big Data and Business Intelligence
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