E-commerce Sales Forecast Based on Neural Network LSTM

Sizhe Zhou

Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26–28, 2023, Nanjing, China

Research Article

E-commerce Sales Forecast Based on Neural Network LSTM

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.26-5-2023.2334251,
    author={Sizhe  Zhou},
    title={E-commerce Sales Forecast Based on Neural Network LSTM},
    proceedings={Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26--28, 2023, Nanjing, China},
    publisher={EAI},
    proceedings_a={MSEA},
    year={2023},
    month={7},
    keywords={long short term memory networks sales forecasting convolutional neural networks},
    doi={10.4108/eai.26-5-2023.2334251}
}

Sizhe Zhou
Year: 2023
E-commerce Sales Forecast Based on Neural Network LSTM
MSEA
EAI
DOI: 10.4108/eai.26-5-2023.2334251

Sizhe Zhou¹^,*

1: Lomonosov Moscow State University

*Contact email: zsz470469575@gmail.com

Abstract

With the advancement of the Internet and the popularization of e-commerce, sales forecasting has become an essential marketing strategy in the online market. This article uses the historical sales data of a Russian e-commerce company to build an LSTM model under the TensorFlow framework.

Keywords: long short term memory networks sales forecasting convolutional neural networks

Published: 2023-07-21
Publisher: EAI

: http://dx.doi.org/10.4108/eai.26-5-2023.2334251