UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 6 Issue 1
January-2019
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1901J12


Registration ID:
547636

Page Number

77-83

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Title

Smart E-commerce Logistics Construction Model Based on Big Data Analytics

Abstract

The rapid growth of e-commerce has revolutionized the logistics industry, necessitating the development of more efficient and responsive logistics systems. Traditional logistics models often struggle to meet the demands of modern e-commerce, which requires fast, reliable, and cost-effective delivery solutions. This paper proposes a smart e-commerce logistics construction model based on big data analytics. By leveraging large datasets and advanced analytical techniques, this model aims to optimize logistics operations, improve customer satisfaction, and reduce costs. The paper also explores the challenges and potential solutions in implementing such a model, offering insights into future research directions.

Key Words

E commerce, Big data naylytics and Analytical techniques etc.

Cite This Article

"Smart E-commerce Logistics Construction Model Based on Big Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.77-83, January-2019, Available :http://www.jetir.org/papers/JETIR1901J12.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

"Smart E-commerce Logistics Construction Model Based on Big Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp77-83, January-2019, Available at : http://www.jetir.org/papers/JETIR1901J12.pdf

Publication Details

Published Paper ID: JETIR1901J12
Registration ID: 547636
Published In: Volume 6 | Issue 1 | Year January-2019
DOI (Digital Object Identifier):
Page No: 77-83
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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