Within the context of the different product types and marketing strategies involved in ecommerce transactions, this paper suggested that high-value and time-varying products (HVTVP) made up the core of the market. These products are characterized by high brand recognition, high market price, price decay over time, and stable physical properties. This paper analyzed the structure of the pre-sale period of HVTVP and described the pre-sale period by dividing it into distinct functions. Based on this analysis, it discussed the characteristics of the logistics distribution network during the pre-sale period and established a decentralized bi-level programming model for the logistics distribution network of HVTVP within this period. This model was solved using an interactive fuzzy algorithm, which was tested and verified through numerical analysis.