首页>
外国专利>
METHODS AND SYSTEMS FOR TRANSFORMING LOGISTIC VARIABLES INTO NUMERICAL VALUES FOR USE IN DEMAND CHAIN FORECASTING
METHODS AND SYSTEMS FOR TRANSFORMING LOGISTIC VARIABLES INTO NUMERICAL VALUES FOR USE IN DEMAND CHAIN FORECASTING
展开▼
机译:将逻辑变量转换为数值链以供需求链预测中使用的方法和系统
展开▼
页面导航
摘要
著录项
相似文献
摘要
An improved method for forecasting and modeling product demand. The forecasting methodology employs a multivariable regression model to model the causal relationship between product demand and the attributes of past promotional activities. This improved forecasting methodology enhances the applicability of regression models when dealing with logistic variables. It provides a novel technique to transform such variables into numerical values, resulting in more accurate and more efficient regression models. Furthermore, the reduction in the number of variables improves the stability and predictive power of the regression models.
展开▼