UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1907W04


Registration ID:
508324

Page Number

31-38

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Title

A REVIEW OF THE PART MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE PLAY IN IMPROVING THE ONLINE SHOPPING EXPERIENCE

Abstract

The scientific study of statistical models and algorithms used by computers to carry out specific tasks relies on patterns rather than explicit instructions, and is known as machine learning. It is thought of as a branch of artificial intelligence. E-commerce, often known as electronic or internet commerce, is the term used to describe the purchasing and selling of items through the internet, as well as the data and money transfers necessary to carry out such transactions. Technologies including electronic fund transfers, online transaction processing, Internet marketing, and automated data collection systems are drawn to electronic commerce. Customer satisfaction has improved as a result of taking into account and employing artificial intelligence concepts in product marketing, sales forecasting, and chatbots to deliver superior services at a reasonable cost. Machine learning promises to revolutionise aspects of e-commerce even more as it becomes more ingrained in our daily lives. This essay examines customer experience, search results, retargeting, the replacement of keyword research by visual discovery, product suggestions, and how customers perceive the accessibility of products in the context of online commerce.

Key Words

Chatbots, E-Commerce, Machine learning, User experience.

Cite This Article

"A REVIEW OF THE PART MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE PLAY IN IMPROVING THE ONLINE SHOPPING EXPERIENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.31-38, June-2019, Available :http://www.jetir.org/papers/JETIR1907W04.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A REVIEW OF THE PART MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE PLAY IN IMPROVING THE ONLINE SHOPPING EXPERIENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp31-38, June-2019, Available at : http://www.jetir.org/papers/JETIR1907W04.pdf

Publication Details

Published Paper ID: JETIR1907W04
Registration ID: 508324
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 31-38
Country: -, -, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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