Role of AI in Predicting Consumer Behavior

The emergence of Artificial Intelligence (AI) has significantly transformed the understanding and prediction of consumer behavior. Due to swift progress in machine learning and data analytics, AI allows companies to analyze extensive consumer data, identify trends, and make informed decisions based on insights derived from data. This study look into the methods in which AI improves consumer behavior analysis by inspect critical marketing functions such as customer segmentation, altered recommendations, demand forecasting, and sentiment analysis. This research make use of a survey approach, with data verified using SPSS to extract valuable findings It looks into how AI-driven methods, including predictive analytics, natural language processing (NLP), and deep learning, helps businesses in foreseeing customer wants,needs and behavioral patterns. Results indicate that AI-driven answers makes marketing effectively by creating targeted advertising, enhancing customer engagement rate , and boosting sales. Furthermore, AI supports sentiment analysis by analyzing social media interactions, online reviews, and consumer feedback s, which allows businesses to modify their strategies with respect to changing market situations. An important insight derived from this study is that AI enhances decision-making by eliminating human biases and allowing for immediate adjustments in marketing initiatives. AI-driven chatbots and virtual assistants have revolutionized customer service by providing personalized experiences, promoting customer satisfaction, and fostering brand loyalty. In addition, AI’s action in dynamic pricing strategies provide businesses to establish competitive pricing by analyzing market trends, consumer wants, and competitors activities. However, the adoption of AI brings certain difficulties, including concerns over data security, ethical problems, and the need for ongoing technological advancements. Companies must find a balance between utilizing AI for organizational growth while ensuring responsible and transparent use of AI to maintain consumer confidence. This research summaries the increasing impact of AI in modern marketing and its Capacity to transform consumer behavior analysis. The discovery recommends that businesses leveraging AI-generated insights are better equipped to grasps customer wants, improve personalized experiences, and secure a competitive advantage in the marketplace. As the AI technology advances, its importance in forecasting consumer behavior will become increasingly essential for business growth

Authors

Institutions

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-15
DOI
https://doi.org/10.55041/ijsrem44399
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Role of AI in Predicting Consumer Behavior

Swastik Chhetri, S M Milan
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Impact of AI and Big Data on Business and Society
article

Role of AI in Predicting Consumer Behavior

Swastik Chhetri, S M Milan
article en

Abstract

The emergence of Artificial Intelligence (AI) has significantly transformed the understanding and prediction of consumer behavior. Due to swift progress in machine learning and data analytics, AI allows companies to analyze extensive consumer data, identify trends, and make informed decisions based on insights derived from data. This study look into the methods in which AI improves consumer behavior analysis by inspect critical marketing functions such as customer segmentation, altered recommendations, demand forecasting, and sentiment analysis. This research make use of a survey approach, with data verified using SPSS to extract valuable findings It looks into how AI-driven methods, including predictive analytics, natural language processing (NLP), and deep learning, helps businesses in foreseeing customer wants,needs and behavioral patterns. Results indicate that AI-driven answers makes marketing effectively by creating targeted advertising, enhancing customer engagement rate , and boosting sales. Furthermore, AI supports sentiment analysis by analyzing social media interactions, online reviews, and consumer feedback s, which allows businesses to modify their strategies with respect to changing market situations. An important insight derived from this study is that AI enhances decision-making by eliminating human biases and allowing for immediate adjustments in marketing initiatives. AI-driven chatbots and virtual assistants have revolutionized customer service by providing personalized experiences, promoting customer satisfaction, and fostering brand loyalty. In addition, AI’s action in dynamic pricing strategies provide businesses to establish competitive pricing by analyzing market trends, consumer wants, and competitors activities. However, the adoption of AI brings certain difficulties, including concerns over data security, ethical problems, and the need for ongoing technological advancements. Companies must find a balance between utilizing AI for organizational growth while ensuring responsible and transparent use of AI to maintain consumer confidence. This research summaries the increasing impact of AI in modern marketing and its Capacity to transform consumer behavior analysis. The discovery recommends that businesses leveraging AI-generated insights are better equipped to grasps customer wants, improve personalized experiences, and secure a competitive advantage in the marketplace. As the AI technology advances, its importance in forecasting consumer behavior will become increasingly essential for business growth

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Lovely Professional University (IN)
Openalex Percentile: Top 91%
Impact of AI and Big Data on Business and Society
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.