Research On Pricing Strategies Based on Time Series Analysis Model and Greedy Algorithm Model

Abstract

The issue of replenishment and pricing arrangements for vegetable categories and individual items in future supermarkets is crucial. This article is based on a time series analysis model to analyze the correlation between different categories of single products, and constructs a dual objective greedy algorithm optimization model, constrained by maximizing profits and minimizing operational loss rates. Predict the total replenishment amount and pricing strategy for 50 types of vegetables, including categories such as cauliflower, leaves, chili peppers, eggplants, edible mushrooms, and underwater acoustic root canals. Next week's predicted sales and prices are: cauliflower 0.381 kg, 11.7331 yuan/kg; Leaves 5.9-6.084 kg, 9.031-8.504 yuan/kg; Chili peppers range from 8.327 to 5.8 kilograms, with a price of 15.632 to 14.793 yuan/kilogram; Eggplant 10.962-11.321 kg, 7.843-7.861 yuan/kg; Edible mushrooms 5.5118-5.374 kg, 12.323-11.476 yuan/kg; The underwater sound root canal costs 3.321-3.378 kilograms, 25.619-15.981 yuan/kilogram.