Demand Forecasting of Agricultural Products Logistics in Community

Guangshu Xu; Shangjun Piao; Zilong Song

doi:10.4236/ajibm.2015.57050

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AJIBM> Vol.5 No.7, July 2015

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Demand Forecasting of Agricultural Products Logistics in Community

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DOI: 10.4236/ajibm.2015.57050 3,600 Downloads 4,595 Views Citations

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Guangshu Xu, Shangjun Piao, Zilong Song

Affiliation(s)

Beijing Wuzi University, Beijing, China.

ABSTRACT

This paper discusses the characteristics of the community agricultural products logistics and the difficulty of the demand forecasting of agricultural products logistics in community. Obtaining the data over the years relates to agricultural products logistics in community through questionnaires. Then using Grey prediction model conduct the demand forecasting of agricultural products logistics in community. The study of this paper can provide reference data for the agricultural outlets near the community in Beijing, solve the problem of matching supply and demand of community shops, satisfy consumer’s demand and maximize the benefits of operators. The study of this paper can provide reference data for the agricultural outlets near the community in Beijing, solving the matching supply and demand problems of community shops, satisfying consumer’s demand and maximizing the benefits of operators. Besides, it can also provide some references meaning for e-commerce companies of Beijing, such as the location of community convenient store in O2O e-commerce model, the solution of “The last mile” and so on.

KEYWORDS

Demand Forecasting of Logistics, Agricultural Products in Community, Grey Prediction Model

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Xu, G. , Piao, S. and Song, Z. (2015) Demand Forecasting of Agricultural Products Logistics in Community. American Journal of Industrial and Business Management, 5, 507-517. doi: 10.4236/ajibm.2015.57050.

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