Study on Customer Segmentation Intelligent Model of Air Cargo

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Yin, Fangyi^1 ; Li, Cheng^1 ; Liu, Congling^1

Shanghai University of Engineering Science, Shanghai

201620, China^1

关键词: Customer segmentation;    Data preparation;    Intelligent modeling;    Intelligent models;    Market access;    Neuronal networks;    Segmentation results;    Three dimensions;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/5/052037/pdf
DOI  :  10.1088/1755-1315/252/5/052037

来源: IOP

【 摘 要 】

It is a valid guarantee for airlines to segment the air cargo customers for maximum benefit. Scientific and reasonable customer segmentation can help companies reduce costs and gain market access. This paper puts forward the idea of air cargo customer segmentation model from objective hierarchy, rule hierarchy, result hierarchy and scheme hierarchy under hierarchical thinking. It aims at building an air cargo customer segmentation intelligent model which includes three dimensions. Intelligent models such as cargo association rules, neuronal networks and decision trees are used to analyse values, risks and marketing. The goal of this model is to maintain customers and increase profit margins. This paper launches a further discussion on main points of implementation during every links of stages of data preparation, customer segmentation and application of the segmentation results.