The Role of Artificial Intelligence in Enhancing Ecommerce

The rapid advancement of Artificial Intelligence (AI) has significantly transformed the landscape of e-commerce, reshaping how businesses interact with consumers, manage operations, and optimize decision-making. This research explores the multifaceted role of AI in e-commerce, focusing on key applications such as personalized recommendations, dynamic pricing, inventory management, customer service automation, and fraud detection. By integrating machine learning, natural language processing, and predictive analytics, AI technologies enhance user experiences, increase operational efficiency, and drive revenue growth. The paper also discusses the challenges associated with AI adoption, including data privacy concerns, algorithmic bias, and the need for transparent AI governance. Through case studies and market analysis, this study provides a comprehensive overview of AI-driven innovations in the e-commerce sector and their implications for future digital retail strategies. The findings underscore the growing necessity for e-commerce businesses to embrace AI to remain competitive in a fast-evolving digital economy.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-05-17
DOI
https://doi.org/10.36948/ijfmr.2025.v07i03.45080
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role of Artificial Intelligence in Enhancing Ecommerce

Douglas A. Gore
International Journal For Multidisciplinary Research
Energy Load and Power Forecasting
article

The Role of Artificial Intelligence in Enhancing Ecommerce

Douglas A. Gore
article en

Abstract

The rapid advancement of Artificial Intelligence (AI) has significantly transformed the landscape of e-commerce, reshaping how businesses interact with consumers, manage operations, and optimize decision-making. This research explores the multifaceted role of AI in e-commerce, focusing on key applications such as personalized recommendations, dynamic pricing, inventory management, customer service automation, and fraud detection. By integrating machine learning, natural language processing, and predictive analytics, AI technologies enhance user experiences, increase operational efficiency, and drive revenue growth. The paper also discusses the challenges associated with AI adoption, including data privacy concerns, algorithmic bias, and the need for transparent AI governance. Through case studies and market analysis, this study provides a comprehensive overview of AI-driven innovations in the e-commerce sector and their implications for future digital retail strategies. The findings underscore the growing necessity for e-commerce businesses to embrace AI to remain competitive in a fast-evolving digital economy.

International Journal For Multidisciplinary ResearchVol. 7(3)
Openalex Percentile: Top 91%
Energy Load and Power Forecasting
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.