Research on accurate prediction of vegetable commodity pricing strategy and dynamic replenishment quantity based on optimization model
Year: 2024
Type: article
Abstract: Based on the characteristics of timeliness, fast price change and easy loss, this paper deeply studies the automatic pricing and replenishment strategy of fresh suppliers, in order to maximize the profit of the supermarket. We propose and solve the number of related problems, and fit the linear and nonlinear models, and the results have limited effect. Therefore, this study translated the replenishment problem into sales volume prediction, using LSTM and predicting future sales by random forest model. At the same time, based on the periodicity of vegetable commodity sales, this study proposes the single product replenishment volume and pricing strategy. Finally, in view of the poor fitting effect of a single factor in this study, the improvement method of collecting data from multiple dimensions is proposed to deeply explore the relationship between replenishment and pricing, so as to improve the accuracy of prediction and supermarket revenue.
Authors: Ningjing He, Zhen Zhang
Institution: Zhejiang University of Finance and Economics
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
SDG: Zero hunger
Open Access status: hybrid
OpenAlex ID: W4403376035