Sales Forecasting of Auto Retail Parts Based on BP Neural Network Analysis Model
DOI: 10.23977/jwsa.2022.040101 | Downloads: 2 | Views: 54
Hao Zhang 1, Zhehua Zhang 1, Jun Jiang 1, Shuting Huang 2, Xinyan Wang 1
1 Tibet University, Lhasa 850000, Tibet, China
2 Hainan University, Haikou 570000, Hainan, China
Corresponding AuthorZhehua Zhang
The economic system reform, automobile manufacturing industry has reached the peak of production, accompanied by the ensuing demand and supply of auto retail parts, how to achieve the purpose of forecasting the precise demand for auto retail parts, is to solve the current small class level of most auto retail parts enterprises and even store auto retail parts level to provide basic demand forecasting, and for enterprises and even manufacturers inventory management has a more It also has a faster categorization management method for enterprises and even manufacturers' inventory management.
KEYWORDSBP neural network, Sales forecasting, Spss
CITE THIS PAPER
Hao Zhang, Zhehua Zhang, Jun Jiang, Shuting Huang, Xinyan Wang, Sales Forecasting of Auto Retail Parts Based on BP Neural Network Analysis Model. Journal of Web Systems and Applications (2022) Vol. 4: 1-6. DOI: http://dx.doi.org/10.23977/jwsa.2022.040101.
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