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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM29008

Study of Customer Shopping Trends Analysis

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM29008

Volume:

8 |

3 |

Mar 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DKAKJ

Dr Kadam Anil Kumar J

KS

Kapse Sayali

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Abstract

The research is conducted to study the latest shopping trends of the customers specifically for the clothing industry. In this research paper, to derive the results and perform the analysis we have used advanced data analysis techniques to understand the patterns and preferences of the customer’s shopping trends. This explores various factors influencing customer choices, such as demographic variables, socioeconomic status, technological advancements, and cultural influences. Here we are using a large dataset sourced from retail transactions and online platforms. This research uses statistical methods and machine learning algorithms to understand patterns, identify correlations, and forecast future customer shopping trends.

KEYWORDS

Shopping Customer Shopping Customer satisfaction Customer preference Digital world Advanced Technology.

Cite This Article

Dr Kadam Anil Kumar J, Kapse Sayali, "Study of Customer Shopping Trends Analysis," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 3, Mar 2024.

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12/31/45355

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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