CONSTRUCTION OF E-COMMERCE ECOSYSTEM OF FRESH AGRICULTURAL PRODUCTS BASED ON SUSTAINABLE DEVELOPMENT

With the continuous expansion of the development speed and scale of e-commerce in China, the products that e-commerce platforms can involve have extended to many fields. Fresh agricultural products are one of the most important components. Fresh agricultural products refer to uncooked products, which need to be preserved and frozen. The storage and distribution of fresh products is a major issue, and it is also the focus of current research. We build an effective circulation model of the fresh agricultural product e-commerce ecosystem from the perspective of sustainable development, evaluate the sustainable development status of the fresh agricultural product circulation and sales process through the e-commerce ecosystem construction model, and verify the value and evaluation of the ecosystem model to help fresh agricultural products achieve an important support for sustainable development. Based on the data of 109 fresh product e-commerce platforms surveyed by the author as a sample of recovery, we construct these 109 general e-commerce ecosystems. After the construction is completed, the electronic simulation order is used as the experimental basis, and the data change is observed before and after the construction. We design and compare the values of the fresh agricultural product e-commerce ecosystem elements: stability element (St), repurchase element (Bs), profit element (Pr), evaluation element (Ap), and choose the Surf model of MATLAB 21.0b to evaluate its change trend. Based on the analysis results of the Surf model and the content of the empirical analysis, it is judged that the regular operation of 109 fresh product e-commerce platforms lacks ecosystem construction, and there is a gap in ecosystem construction. According to the situation, an ecosystem that meets the 109 fresh product e-commerce platforms is formulated. The stability factor (St) valuation increases by 40%, the buyback factor (Bs) increases by 85%, the profit factor (Pr) increases by 40%, and the evaluation factor (Ap) increases by 150%, showing that the gain effect is obvious.