China's e-commerce market scale of fresh agricultural products has reached 1000 billion yuan,and the prospect is bright.However,in the face of such problems as quality control,storage and distribution,and consumpt...China's e-commerce market scale of fresh agricultural products has reached 1000 billion yuan,and the prospect is bright.However,in the face of such problems as quality control,storage and distribution,and consumption habits,the fresh product e-commerce has great difficulty in development.Internet generates large data,and data are the resources and the core of the Internet and the foundation for survival and development of Internet.This paper analyzed the current situation of the development of fresh agricultural products,and discussed the plight of fresh product e-commerce in scale,profit,non-standard,and network environment.On the basis of the whole industry supply chain,it came up with paths for upgrade and transformation of the fresh product e-commerce with the big data as the core in the context of Internet environment.展开更多
Fresh products have the characteristics of perishable, small batch and high frequency. Therefore, for fresh food e-commerce enterprises, market demand forecasting is particularly important. This paper takes the sales ...Fresh products have the characteristics of perishable, small batch and high frequency. Therefore, for fresh food e-commerce enterprises, market demand forecasting is particularly important. This paper takes the sales data of a fresh food e-commerce enterprise as the logistics demand, analyzes the influence of time and meteorological factors on the demand, extracts the characteristic factors with greater influence, and proposes a logistics demand forecast scheme of fresh food e-commerce based on the Bi-LSTM model. The scheme is compared with other schemes based on the BP neural network and LSTM neural network models. The experimental results show that the Bi-LSTM model has good prediction performance on the problem of logistics demand prediction. This facilitates further research on some supply chain issues, such as business decision-making, inventory control, and logistics capacity planning.展开更多
In the economic structure of our country, small and medium-sized enterprises （SMEs） are the most important part of the backbone, with the continuous popularization of the Internet, e-commerce has gradually become a ...In the economic structure of our country, small and medium-sized enterprises （SMEs） are the most important part of the backbone, with the continuous popularization of the Internet, e-commerce has gradually become a business model that the current small and medium enterprises must face and accept, The development of enterprises is of great signifi cance. In this context, the article first introduced the importance of the development of e-commerce SMEs, and then based on the actual operation of the community put forward and analyzed the current e-commerce development under the existing problems, and finally based on the actual lack of effective Development Strategy of E - commerce for Small and Medium - sized Enterprises.展开更多
基金Supported by Social Science Research Common Program of Beijing Municipal Commission of Education 2017 "Study on E-commerce Logistics Model of Fresh Agricultural Products Based on Big Data"(SY201712448002)
文摘China's e-commerce market scale of fresh agricultural products has reached 1000 billion yuan,and the prospect is bright.However,in the face of such problems as quality control,storage and distribution,and consumption habits,the fresh product e-commerce has great difficulty in development.Internet generates large data,and data are the resources and the core of the Internet and the foundation for survival and development of Internet.This paper analyzed the current situation of the development of fresh agricultural products,and discussed the plight of fresh product e-commerce in scale,profit,non-standard,and network environment.On the basis of the whole industry supply chain,it came up with paths for upgrade and transformation of the fresh product e-commerce with the big data as the core in the context of Internet environment.
文摘Fresh products have the characteristics of perishable, small batch and high frequency. Therefore, for fresh food e-commerce enterprises, market demand forecasting is particularly important. This paper takes the sales data of a fresh food e-commerce enterprise as the logistics demand, analyzes the influence of time and meteorological factors on the demand, extracts the characteristic factors with greater influence, and proposes a logistics demand forecast scheme of fresh food e-commerce based on the Bi-LSTM model. The scheme is compared with other schemes based on the BP neural network and LSTM neural network models. The experimental results show that the Bi-LSTM model has good prediction performance on the problem of logistics demand prediction. This facilitates further research on some supply chain issues, such as business decision-making, inventory control, and logistics capacity planning.
文摘In the economic structure of our country, small and medium-sized enterprises （SMEs） are the most important part of the backbone, with the continuous popularization of the Internet, e-commerce has gradually become a business model that the current small and medium enterprises must face and accept, The development of enterprises is of great signifi cance. In this context, the article first introduced the importance of the development of e-commerce SMEs, and then based on the actual operation of the community put forward and analyzed the current e-commerce development under the existing problems, and finally based on the actual lack of effective Development Strategy of E - commerce for Small and Medium - sized Enterprises.
