Analysis and Prediction of Online Beer Sales Based on SARIMA Model
DOI:
https://doi.org/10.54691/bcpbm.v36i.3454Keywords:
Time Series; Beer Online Sales; SARIMA Model.Abstract
With the boom of e-commerce in China, online shopping has become the mainstream way of shopping in Chinese. To explore the impact of online shopping on beer sales, this paper uses a time series SARIMA model to analyze online beer sales data from January 2020 to September 2022 obtained from Internet platforms and predicts online beer sales from October 2022 to September 2023. This paper first introduces the current research on beer sales in China, and then briefly analyzes the current situation of the beer industry. Thirdly, based on the real data of beer online sales on the Internet platform, SARIMA model is used to forecast the sales volume of next year. The result shows that beer online sales are expected to show an upward trend, with the industry being the most competitive in June 2023, and a small sales peak both in November 2022 and January 2023 due to the e-commerce carnival. Therefore, beer online sales are significantly affected by seasonality and platform promotions.
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