Profit Maximization Decision of Supermarket Based on Heritage Algorithm Optimization

Commodity profit maximization decision is an important concept in supply chain management. The supermarket needs to make replenishment decision of each vegetable category according to the historical sales and demand. The aim of this study is to optimize profit maximization decision in supermarket operation by genetic algorithm. By constructing a mathematical model, factors such as sales strategy and inventory management are considered and converted into optimization problems. Genetic algorithm is introduced to solve the complex multi-variable optimization problem. By iterating the optimization parameters constantly, the profit of supermarket can be maximized under the premise of satisfying various constraints. The results of the model show that the optimization method based on genetic algorithm has better performance than the traditional decision-making method, which can improve the profit and reduce the cost effectively, and provide a reference for the feasibility and effectiveness of the supermarket decision-making.