Method for classifying sale amount characteristics, method for
predicting sale volume, method for ordering for restocking, system for
classifying sale amount characteristics and system for ordering for
restocking
    1.
    发明授权
    Method for classifying sale amount characteristics, method for predicting sale volume, method for ordering for restocking, system for classifying sale amount characteristics and system for ordering for restocking 失效
    销售额特征分类方法,销售量预测方法,订货补货方式,销售额特征分类制度和订货补货制度

    公开(公告)号:US5596493A

    公开(公告)日:1997-01-21

    申请号:US956779

    申请日:1992-12-17

    IPC分类号: G06Q10/00 G07G1/14 G06F153/00

    摘要: POS data are entered at step S1. The input POS data are arranged and those data for a day on which there was no stock at the store opening time and for a day on which the goods are out of stock at the store closure time are discarded to formulate data sets of the daily sale amounts for individual goods. At step S3, non-routine goods are discarded. At step S4, basic statistic values of the goods, such as mean value, standard deviation, maximum value, minimum value, skewness value, kurtosis value, Geary value etc. of the daily sale amounts of the goods are calculated. At step S5, the goods are classified into one of preset plural types, such as Poisson type, normal type, causal type and other type. Besides, an optimum amount for restocking order is found on the basis of the class types.

    摘要翻译: PCT No.PCT / JP92 / 00495 Sec。 371日期:1992年12月17日 102(e)日期1992年12月17日PCT提交1992年4月17日PCT公布。 出版物WO92 / 18939 日期1992年10月29日在步骤S1输入POS数据。 输入的POS数据被排列,并且在商店开放时间和货物在商店关闭时间缺货的一天没有库存的一天的那些数据被丢弃以制定每日销售的数据集 个别商品金额。 在步骤S3,非常规商品被丢弃。 在步骤S4,计算商品的日销售量的货物的基本统计值,如平均值,标准差,最大值,最小值,偏度值,峰度值,Geary值等。 在步骤S5中,商品被分类为泊松型,正常型,因果型等其他类型的预设多种类型之一。 此外,基于类型可以找到最佳的补仓顺序。