CNN-BiLSTM-Attention Prediction Model for Merchandise Sales Based on Attention Mechanism
Chengxing Zhou, Xiaofan Yan, Qiude Li, Chujiao Hu, Rui Wang, Mingming Liu · 2023
As companies continue to generate merchandise sales, the data is important for their marketing planning, market analysis, and logistics planning, so it is important to accurately predict merchandise sales. This paper combines a recently proposed attention mechanism multiple time series regression model, the CNN-BiLSTM-Attention model, to predict product sales for the next three months. The model can fix the overfitting problem, and can accurately predict the sales volume of products with high accuracy.