Delivery statistical prediction method based on doris and spark

The invention discloses an ex-warehouse statistical prediction method based on doris and spark. The ex-warehouse statistical prediction method comprises the steps of obtaining historical order data; an order data analysis rule is configured; performing data cleaning on the order data according to a...

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Bibliographic Details
Main Authors LI CHENGGANG, REN YUANBO, YU QINGHUA, JIANG SIYU
Format Patent
LanguageChinese
English
Published 16.05.2023
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Summary:The invention discloses an ex-warehouse statistical prediction method based on doris and spark. The ex-warehouse statistical prediction method comprises the steps of obtaining historical order data; an order data analysis rule is configured; performing data cleaning on the order data according to a configured rule; carrying out warehouse-out statistics on the cleaned order data according to a configured rule; partitioning the order data subjected to ex-warehouse statistics according to time to obtain time sequence data; displaying the ex-warehouse statistical data; constructing an ex-warehouse prediction model according to the time sequence data; according to the prediction model and the warehouse-in data, warehouse-out quantity prediction in future time is carried out; and pushing and displaying the ex-warehouse amount prediction value, and configuring plan data according to the ex-warehouse amount prediction value. According to the invention, warehouse-out data, warehouse-out display and distribution of war
Bibliography:Application Number: CN202211560913