连锁超市CRM物流配送系统中预测模型研究

Prediction of logistics delivery CRM of chain supermarkets

针对零售业连锁经营在物流配送和营销管理的信息化、商业智能化双方面需求,建立了CRM和物流配送相结合的新型系统模型.在系统的决策支持部分,利用新型模型系统中具有CRM和物流配送综合信息资源的优势,提出了将关联规则和神经网络结合在一起的配送预测方法,大大提高了预测的正确性.

In order to improve the information and intelligent of chain stores in both purchase and distribution, a new system model is established in which CRM and logistic distribution supplement each other well. By using the synthetically information of the model as data resource, a forecast method combining association rules and BP neural network is put forward in this paper, and the veracity of forecast in the decision support is enhanced highly.