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Journal of Innovations in Economics & Management

Volume 5, 2024 - Issue 4

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Research on accurate prediction of vegetable commodity pricing strategy and dynamic replenishment quantity based on optimization model

by Ningjing He 1,*  and  Zhen Zhang 1
1
School of School of Public Finance and Taxation, Zhejiang University of Finance and Economics , Hangzhou, China
*
Author to whom correspondence should be addressed.
JIEM  2024 5(4):96; https://doi.org/10.69610/j.jiem.202410012
Received: / Accepted: / Published Online: 1 October 2024
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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.

Keywords: optimization model; correlation; pricing; replenishment;
Copyright: © 2024 by He and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
He, N.; Zhang, Z. Research on accurate prediction of vegetable commodity pricing strategy and dynamic replenishment quantity based on optimization model. Journal of Innovations in Economics & Management, 2024, 5, 96. doi:10.69610/j.jiem.202410012
AMA Style
He N, Zhang Z. Research on accurate prediction of vegetable commodity pricing strategy and dynamic replenishment quantity based on optimization model. Journal of Innovations in Economics & Management; 2024, 5(4):96. doi:10.69610/j.jiem.202410012
Chicago/Turabian Style
He, Ningjing; Zhang, Zhen 2024. "Research on accurate prediction of vegetable commodity pricing strategy and dynamic replenishment quantity based on optimization model" Journal of Innovations in Economics & Management 5, no.4:96. doi:10.69610/j.jiem.202410012

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