摘要
针对顾客动态需求预测问题,选取芥末留学咨询服务企业2019年4月至8月的顾客需求数据,采用Matlab7.0对芥末留学顾客需求的相关影响因素作为预测因子进行预测。结果表明:组合预测模型有效地提高了预测精度,将预测精度误差降低到了2.6%,为顾客需求预测提供了新的组合模型;将组合模型应用到了留学服务顾客需求预测中,为留学服务行业制定顾客策略提供了指导。
In view of the problem of customer dynamic demand prediction,the customer demand data of Mustard overseas study consulting service enterprises from April to August 2019 are selected and Matlab7.0 is used to predict the relevant influencing factors of Mustard overseas study customer demand.The results show that the combination prediction model can effectively improve the prediction accuracy and reduce the prediction accuracy error to 2.6%,which theoretically provides a new combination model for customer demand prediction and improves the prediction accuracy.In a practical sense,the combination model is applied to the customer demand of overseas study service consultation,which provides guidance for the customer strategy of overseas study service industry.
作者
赵宝福
柴胜仙
张艳菊
ZHAO Baofu;CHAI Shengxian;ZHANG Yanju(School of Business Administration,Liaoning Technical University,Huludao 125105,China)
出处
《辽宁工程技术大学学报(社会科学版)》
2021年第3期168-175,共8页
Journal of Liaoning Technical University(Social Science Edition)
基金
辽宁省社科规划基金(L18CJY003)
辽宁省教育厅一般项目(LJ2017QW010)