Research on the influence factors and improvement path of rural e-commerce development based on neural network
Data publikacji: 02 paź 2023
Otrzymano: 07 gru 2022
Przyjęty: 12 kwi 2023
DOI: https://doi.org/10.2478/amns.2023.2.00447
Słowa kluczowe
© 2023 Qiao Zhao, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
This paper uses big data evaluation models to predict market trends with the goal of promoting rural e-commerce development. A closely integrated algorithmic trading framework is constructed, and strategic evaluation indicators are proposed in traditional indicators. By analyzing the current situation and problems of online marketing of agricultural products, a series of development strategies and safeguards are formulated, and suggestions are made to establish QR code traceability and highlight personalized product development. The results show that age has a greater influence on the development of agribusiness. 65.73% of the 20-35 year olds choose to be willing to buy and do so through the Internet, which is 53.40% higher than the average, and 59.09% of the under-20 year olds choose to be unclear but willing to know, which is 28.64% higher than the average. The data studied and analyzed in this paper are useful for predicting the sales trend of the rural e-commerce market and promoting the development of rural e-commerce development.