Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

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Intelligent Prediction and Analysis of Online and Offline Retail Big Data Under the Background of Public Health Emergencies

Authors
Yue Liu1, 3, *, Zongguo Zhang2, 3
1Shandong Institute of Commerce and Technology, Jinan, Shandong, China
2Qingdao Vocational and Technical College of Hotel Management, Qingdao, Shandong, China
3North Chiang Mai University, Chiang Mai, Thailand
*Corresponding author. Email: 578439353@qq.com
Corresponding Author
Yue Liu
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_121How to use a DOI?
Keywords
big data; online shopping; tableau; intelligent algorithms; predictive evaluation
Abstract

With the rapid iterative upgrade of digital economy and internet plus, online shopping experience has been more and more widely accepted and loved by the public. Especially in the case of public health events such as COVID-19 outbreak, e-commerce transaction has become the mainstream format. This paper collects the big data of supermarket sales, makes visual analysis of the data through intelligent algorithms such as machine learning with Tableau as the main body, and carries out the transaction situation, profit, sales and sales forecast and evaluation of various provinces and cities. It is considered that online shopping is continuously impacting offline shopping, and experiential scenes are accelerating the replacement of traditional physical stores.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-064-0_121
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_121How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yue Liu
AU  - Zongguo Zhang
PY  - 2022
DA  - 2022/12/27
TI  - Intelligent Prediction and Analysis of Online and Offline Retail Big Data Under the Background of Public Health Emergencies
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 1159
EP  - 1167
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_121
DO  - 10.2991/978-94-6463-064-0_121
ID  - Liu2022
ER  -