id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fbem-1670	Ge, Huizhen; Fang, Lina	Prediction Model of Physical Goods Sales based on Time Series Analysis	2022	8	.pdf	application/pdf	2716	149	53	In this paper for the real data, online physical goods sales into the original time series for research problems, to establish the monthly cycle time series model, on the basis of the cumulative value of online sales and physical goods online sales cumulative value two dimensions for comparative analysis, through modeling prediction, on the line of physical goods demand forecast. This paper takes online sales of physical goods as the research object, takes cumulative online retail sales from January 2020 to December 2021 and cumulative online retail sales of physical goods as the sample data (Table 1), and the data is the time series data.	cache/fbem-1670.pdf	txt/fbem-1670.txt