ORDER QUANTITY DETERMINATION SYSTEM, ORDER QUANTITY DETERMINATION METHOD, AND ORDER QUANTITY DETERMINATION PROGRAM

    公开(公告)号:US20190236545A1

    公开(公告)日:2019-08-01

    申请号:US16330123

    申请日:2017-07-25

    CPC classification number: G06Q10/0875 G06Q10/08 G06Q30/02 G06Q30/0202

    Abstract: Error calculation means 81 calculates an error in a demand quantity predicted by a prediction model, and, from a predicted demand quantity during a covered time slot and a predicted demand quantity during a sales permitted period calculated for each product, calculates an error in the predicted demand quantity during the covered time slot and an error in the predicted demand quantity during the sales permitted period. Safety stock quantity calculation means 82 calculates an occurrence probability of the predicted demand quantity during the covered time slot, for each product, and an occurrence probability of the predicted demand quantity during the sales permitted period, for each product, from the errors and calculates a safety stock quantity. Order quantity calculation means 83 calculates an order quantity, from a stock quantity anticipated at a time point of delivery, the predicted demand quantity during the covered time slot, and the safety stock quantity.

    RECOMMENDED ORDER QUANTITY DETERMINING DEVICE, RECOMMENDED ORDER QUANTITY DETERMINATION METHOD, AND RECOMMENDED ORDER QUANTITY DETERMINATION PROGRAM

    公开(公告)号:US20200279212A1

    公开(公告)日:2020-09-03

    申请号:US16650904

    申请日:2018-07-03

    Abstract: A first safety stock quantity calculation unit 81 calculates a safety stock quantity of a commodity at a first elapse time that is a time when a unit delivery time period has elapsed from one delivery time, the unit delivery time period being a unit of a delivery interval. A second safety stock quantity calculation unit 82 calculates a safety stock quantity of the commodity at a second elapse time that is a time when a coverage time period has elapsed from the delivery time, the coverage time period being a period combining a plurality of unit delivery time periods and determined depending on the commodity, the plurality of unit delivery time periods each being the unit delivery time period. A recommended order quantity calculation unit 83 calculates a recommended order quantity of the commodity, based on the safety stock quantity of the commodity at the second elapse time. In the case where prediction is made that a stock quantity at the first elapse time is less than the safety stock quantity at the first elapse time, the second safety stock quantity calculation unit 82 calculates a safety stock quantity of the commodity at a time when the coverage time period has elapsed from the first elapse time.

    SKU NUMBER DETERMINATION SERVER, METHOD, AND PROGRAM

    公开(公告)号:US20200019976A1

    公开(公告)日:2020-01-16

    申请号:US16335281

    申请日:2017-09-15

    Abstract: A recommended SKU number calculation unit 71 calculates a recommended number of SKUs on the basis of a number of SKUs recommended in the past. The recommended SKU number calculation unit 71 acquires a first demand prediction for a target period for calculating the recommended number of SKUs and a second demand prediction for a period following the target period and, in the case where the degree of variation in the second demand prediction relative to the first demand prediction exceeds a threshold value, corrects the calculated number of SKUs in accordance with the degree.

    SKU NUMBER DETERMINATION SERVER, SYSTEM, METHOD, AND PROGRAM

    公开(公告)号:US20190279146A1

    公开(公告)日:2019-09-12

    申请号:US16335291

    申请日:2017-09-15

    Abstract: A recommended SKU number calculation unit 81 calculates a recommended number of SKUs on the basis of a number of SKUs recommended in the past. A recommended SKU number transmission unit 82 transmits the calculated recommended number of SKUs to a store terminal. In addition, in the case where an adopted number of SKUs sent back from a store in response to the transmitted recommended number of SKUs changes continuously and in a consistent trend, the recommended SKU number calculation unit 81 changes the recommended number of SKUs for the store, in accordance with the trend.

    PRODUCT LINEUP RECOMMENDATION DEVICE, PRODUCT LINEUP RECOMMENDATION METHOD, AND PRODUCT LINEUP RECOMMENDATION PROGRAM

    公开(公告)号:US20190279145A1

    公开(公告)日:2019-09-12

    申请号:US16335094

    申请日:2017-09-15

    Abstract: A first configuration information calculation unit 61 calculates, on the basis of sales results for a target store during a predetermined past period, first configuration information, which is sales monetary amount configuration information for products having sales results at the target store. A second configuration information calculation unit 62 calculates second configuration information, which is sales monetary amount configuration information for products having no sales results at the target store during the period on the basis of a prediction model that predicts sales monetary amount configuration information for single product items. A product selection unit 63 selects a specified number of products from among products for which the first configuration information is calculated and products for which the second configuration information is calculated, in descending order of monetary amount indicated by the sales monetary amount configuration information.

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