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Research on Pricing and Replenishment Strategies for Supermarkets Based on Revenue Maximization

Year: 2024

Type: article

Abstract: Based on the perspectives of time series and the supply chain, this paper investigates pricing and replenishment strategies for fresh supermarkets with the aim of maximizing profits. Through visual analysis, the vegetable category is thoroughly examined, revealing seasonal sales patterns. Furthermore, the correlation between different categories is explored using ADF tests and the DPCCA model. To optimize the replenishment quantity for the upcoming week, sales data from the past month is employed for nonlinear fitting. Assuming a fixed purchase price, the ARIMA model is utilized to forecast pricing, and optimal pricing and daily replenishment strategies for the next seven days are formulated through nonlinear programming methods.

Source: Journal of Education Humanities and Social Sciences

DOI: 10.54097/3bfb1k54

Authors: Zheng Lu, Yuanshuo Wang, Kefei Liu

Institution: Hohai University

Language: English

Topic: Supply Chain and Inventory Management

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W4401666947

FWCI:

Cites: 8

Cited by:

Related to: 10