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
An old Chinese saying goes like 'food is the paramount necessity of the people'.Food safety is always the key element.At the conference of Annual Fresh Food Tender for Hong Kong (2016),Xiaoqun He,deputy dire...An old Chinese saying goes like 'food is the paramount necessity of the people'.Food safety is always the key element.At the conference of Annual Fresh Food Tender for Hong Kong (2016),Xiaoqun He,deputy director of registration department of CNCA(Certification and Accreditation Administration of the People’s展开更多
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An old Chinese saying goes like 'food is the paramount necessity of the people'.Food safety is always the key element.At the conference of Annual Fresh Food Tender for Hong Kong (2016),Xiaoqun He,deputy director of registration department of CNCA(Certification and Accreditation Administration of the People’s
