Author(s)

Guangshu Xu, Shangjun Piao, Zilong Song

Beijing Wuzi University, Beijing, China.

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.

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

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.