M-GAN-XGBOOST model for sales prediction and precision marketing strategy making of each
product in online stores
期刊名称： Data Technologies and Applications
作者： Song Wang,Yang Yang
年份： 2021年
期号： 第ahead-of-print期
关键词： Integration model;XGBOOST;Precision marketing strategy;Sales
forecast;Deep learning;Neural network
摘要：Purpose The rapid development of e-commerce has brought not only great convenience to people but a great challenge to online stores. Phenomenon such as out of stock and slow sales has been common in recent years. These issues can be managed only when the occurrence of the sales volume is
predicted in advance, and sufficient warnings can be executed in time. Thus, keeping in mind the importance of the sales prediction system, the purpose of this paper is to propose an effective sales prediction model and make digital marketing strategies with the machine learning model. Design/methodology/approach Based on the consumer purchasing behavior decision theory, we discuss the factors affecting product sales, including external factors, consumer perception, consumer potential purchase behavior and consumer traffic. Then we propose
for the sale
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