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RETRACTED ARTICLE: Research on sales information prediction system of e-commerce enterprises based on time series model

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This article was retracted on 29 November 2022

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Abstract

Sales forecasting plays an important role in guiding the sales and marketing of e-commerce enterprises, and warehousing department planning warehouse location. At the same time, sales data can better reflect future sales trends. This paper establishes a sales forecasting and analysis model for commodities with common characteristics using their historical sales data through time series model, and forecasts the sales inventory of a certain kind of products from a quantitative point of view. In order to improve the predictive reliability, this paper introduces external observable data and qualitative analysis of historical data prediction model by using hidden Markov model to predict the characteristics of hidden values, so as to further improve the reliability of prediction model.

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Acknowledgements

Supported by the National Natural Science Foundation of China (Grant No: 71572075).

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Authors and Affiliations

  1. School of Economics and Sports Management, Changzhou Vocational Institute of Engineering, Changzhou, 213164, Jiangsu, China

    Jian Liu & Lanping Zhang

  2. Nanjing University Business School, Nanjing, 210093, Jiangsu, China

    Chunlin Liu

  3. Changzhou Tiansheng New Materials Co, Ltd, Changzhou, 213000, Jiangsu, China

    Yi Xu

Authors
  1. Jian Liu
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  2. Chunlin Liu
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  3. Lanping Zhang
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  4. Yi Xu
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Correspondence to Jian Liu.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s10257-022-00607-x

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Liu, J., Liu, C., Zhang, L. et al. RETRACTED ARTICLE: Research on sales information prediction system of e-commerce enterprises based on time series model. Inf Syst E-Bus Manage 18, 823–836 (2020). https://doi.org/10.1007/s10257-019-00399-7

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  • DOI: https://doi.org/10.1007/s10257-019-00399-7

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