A Supplementary Model Based on BP Neural Network Optimization Algorithm and Data Set Classification Availability Evaluation

The replenishment order is an important part of the operation of the business company. The replenishment is also a very annoying problem for many e-commerce companies. The main problem is that the replenishment will affect the cash flow occupation and the accumulation of inventory. In this paper, we use the patch model, time series, wavelet neural network, data set classification usability evaluation and other methods to successfully solve the problem given by the problem, and establish a suitable, complete, systematic multi-objective optimization model, using quantitative analysis and qualitative analysis. The combined method calibrates the model parameters to analyze the problem of the patch.