Optimization Model of Vegetable Sales Forecasting in Fresh Supermarket Based on Markov Chain
In order to solve the replenishment problem of vegetable commodities,an optimization model of vegetable sales forecasting based on Markov chain was proposed. The optimal replenishment strategy was found by forecasting vegetable sales. The model divides the existing state of each vegetable commodity into five levels,and predicts the future sales volume of each vegetable commodity through the continuous iteration of the state probability of Markov chain. According to the predicted sales volume of different vegetable commodities,statistical principles were used to analyze the predicted average profit of vegetable commodities and greedy algorithm was used to find the optimal replenishment strategy. MATLAB and Excel were fully used to classify and process large amounts of data quickly and accurately. It can provide reference for sales forecasting,replenishment strategy and profit estimation of time-sensitive vegetables in each fresh supermarket.
万方数据
维普
