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.
Highlights
In recent years, there have been some new marketing models of agricultural products under the funding and policy support of Chinese government
Many experts and scholars described the notion of the demand of agricultural products logistics from the aspects of modern logistics, economics and so on
In order to differentiate between agricultural products logistics in community and agricultural products logistics in its broad sense, this paper researched the demand of Agricultural products in community from the perspective of urban logistics
Summary
There have been some new marketing models of agricultural products under the funding and policy support of Chinese government. In recent years Hui Chunmei, Li Yanfeng [3] and others combined with the data of import and export trade of special agricultural products in Yunnan city, discussed the forecasting of their agricultural products exports over the few years. He Liu [4] indirect forecasted the logistics demand of Huishan Agricultural products Logistics Industrial Park by around four provinces. These papers just predicted quantity demand of agricultural products logistics or total cost of agricultural products logistics These researches are too macroscopic, and they considered more from the perspective of the government rather than the company. It can be conducive to choose site for community stores in O2O e-commerce and to solve the problem of end of the distribution in logistics and other issues with reference significance
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