UTILIZING ARTIFICIAL INTELLIGENCE TO PREDICT CONSUMER ACTIONS AND MARKET TRENDS IN E-COMMERCE

This paper explores how artificial intelligence (AI) is transforming e-commerce by forecasting consumer behavior and detecting market trends. Through machine learning, sentiment analysis, and predictive analytics, AI enables businesses to personalize services, optimize inventory, and enhance decision-making. The integration of AI tools allows for real-time responses to shifting customer preferences, resulting in improved customer satisfaction and increased competitiveness. Ethical considerations, such as data privacy and algorithmic bias, are also discussed.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-12
DOI
https://doi.org/10.5281/zenodo.15645174
Primary Topic
Crystallography and molecular interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

UTILIZING ARTIFICIAL INTELLIGENCE TO PREDICT CONSUMER ACTIONS AND MARKET TRENDS IN E-COMMERCE

Zenodo (CERN European Organization for Nuclear Research)
Crystallography and molecular interactions
article

UTILIZING ARTIFICIAL INTELLIGENCE TO PREDICT CONSUMER ACTIONS AND MARKET TRENDS IN E-COMMERCE

article en

Abstract

This paper explores how artificial intelligence (AI) is transforming e-commerce by forecasting consumer behavior and detecting market trends. Through machine learning, sentiment analysis, and predictive analytics, AI enables businesses to personalize services, optimize inventory, and enhance decision-making. The integration of AI tools allows for real-time responses to shifting customer preferences, resulting in improved customer satisfaction and increased competitiveness. Ethical considerations, such as data privacy and algorithmic bias, are also discussed.

Zenodo (CERN European Organization for Nuclear Research)
Tashkent State University of Economics (UZ)
Peace, Justice and strong institutions
Openalex Percentile: Top 56%
Crystallography and molecular interactions
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.