Regression Analysis and Optimization Design of Automatic Pricing Replenishment Decision for Vegetable Items
Year: 2024
Type: article
Abstract: Automatic pricing and replenishment decision-making for vegetable goods, Firstly, using linear regression model to optimize the pricing strategy in the next seven days, secondly, constructing mathematical model to synthesize the pricing strategy that has been derived to formulate a more comprehensive sales strategy, Combined with the spsspro software to solve the solution to achieve the maximization of the interests of the superstore. This study aims to develop a reasonable pricing replenishment strategy for supermarkets. By optimizing pricing and replenishment strategies, supermarkets can improve sales efficiency and profit maximization, reduce costs and risks, and promote digital transformation and intelligent management.
Source: Economic society and humanities.
DOI: 10.62381/e244a07
Authors: Chen Liling, Lan Xiangru, Zhu Minmin, Sun Jiehua, Wang Chunli
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4409452769