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

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