Application and Future of Data Analytics in Retail E-Commerce
Authors
Chaofan Deng1, *, Jinyi Zhang2, Ruixuan Wu3
1College of Civil Aviation Safety Engineering, Civil Aviation Flight University of China, Deyang, 618307, China
2Yixing High School, Jiangsu Province, Wuxi, 214299, China
3YewChung International School, Chongqing, 401122, China
*Corresponding author.
Email: erxiaodcf@163.com
Corresponding Author
Chaofan Deng
Available Online 31 December 2022.
- DOI
- 10.2991/978-94-6463-036-7_70How to use a DOI?
- Keywords
- Electronic Commerce; Value Chain; Data Analytics
- Abstract
Retail e-commerce, a vital significant industry, developed greatly due to the advance in data science, particularly in covid-19 pandemic. Data analytics is becoming a wide application in retail e-commerce. In this paper, we firstly do an industry overview, which includes the history, current business dynamics and the challenges of retail e-commerce. Then, we integrate the value chain for the retail e-commerce industry and further demonstrate current applications of data analytics across the value chain. Lastly, the future applications of data analytics in retail e-commerce are contemplated.
- Copyright
- © 2022 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
TY - CONF AU - Chaofan Deng AU - Jinyi Zhang AU - Ruixuan Wu PY - 2022 DA - 2022/12/31 TI - Application and Future of Data Analytics in Retail E-Commerce BT - Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022) PB - Atlantis Press SP - 471 EP - 476 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-036-7_70 DO - 10.2991/978-94-6463-036-7_70 ID - Deng2022 ER -