Study on the Relationship Between Vegetable Pricing and Sales Volume Based on the Data-Driven Approach

Abstract

The study of the relationship between pricing and sales volume of vegetables is important for optimizing supply chain management and enhancing the profitability of agricultural products, and has become a key issue in responding to market competition and the diversification of consumer demand. The relationship between different categories of vegetables, and between them and sales volume is currently unclear. For this purpose, this study analyzed the vegetable categories using descriptive statistical analysis and linear regression analysis and aggregated them with the help of Spearman's correlation test. This study will explore the relationship between sales volume and cost pricing to make the final pricing of the vegetables.This paper analyse the pricing strategy by looking at the data related to each dish from 1 July to 7 July 2023, this paper fit the relationship between cost plus price and total sales using the least squares method for regression prediction, and create power function regression prediction plots for each category. The prediction charts visualise the predicted sales for the next 7 days and formulate a strategy. Through the fitting effect graph can be can be found in addition to chilli vegetables are quadratic regression, different types of vegetables sales of the annual change curve are parabolic.