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An Application of a Three-Stage XGBoost-Based Model to Sales Forecasting of a Cross-Border E-Commerce Enterprise
Joint Authors
Guo, Dong
Ji, Shouwen
Wang, Xiaojing
Zhao, Wenpeng
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-09-16
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Sales forecasting is even more vital for supply chain management in e-commerce with a huge amount of transaction data generated every minute.
In order to enhance the logistics service experience of customers and optimize inventory management, e-commerce enterprises focus more on improving the accuracy of sales prediction with machine learning algorithms.
In this study, a C-A-XGBoost forecasting model is proposed taking sales features of commodities and tendency of data series into account, based on the XGBoost model.
A C-XGBoost model is first established to forecast for each cluster of the resulting clusters based on two-step clustering algorithm, incorporating sales features into the C-XGBoost model as influencing factors of forecasting.
Secondly, an A-XGBoost model is used to forecast the tendency with the ARIMA model for the linear part and the XGBoost model for the nonlinear part.
The final results are summed by assigning weights to forecasting results of the C-XGBoost and A-XGBoost models.
By comparison with the ARIMA, XGBoost, C-XGBoost, and A-XGBoost models using data from Jollychic cross-border e-commerce platform, the C-A-XGBoost is proved to outperform than other four models.
American Psychological Association (APA)
Ji, Shouwen& Wang, Xiaojing& Zhao, Wenpeng& Guo, Dong. 2019. An Application of a Three-Stage XGBoost-Based Model to Sales Forecasting of a Cross-Border E-Commerce Enterprise. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1197689
Modern Language Association (MLA)
Ji, Shouwen…[et al.]. An Application of a Three-Stage XGBoost-Based Model to Sales Forecasting of a Cross-Border E-Commerce Enterprise. Mathematical Problems in Engineering No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1197689
American Medical Association (AMA)
Ji, Shouwen& Wang, Xiaojing& Zhao, Wenpeng& Guo, Dong. An Application of a Three-Stage XGBoost-Based Model to Sales Forecasting of a Cross-Border E-Commerce Enterprise. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1197689
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197689