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METHOD AND APPARATUS FOR FORECASTING SHIPMENTS OF WAREHOUSE USING ARTIFICIAL INTELLIGENCE MODEL

机译:使用人工智能模型预测仓库货物的方法和装置

摘要

According to an initiation, in a method performed by a computer, the step of acquiring information on the shipping history of the first item stored in the distribution warehouse, acquiring information on a plurality of external factors related to the shipping time of the first item, The step of generating a relationship graph for external factors affecting the delivery of the first item by calculating weights for each of a plurality of external factors that occurred at the delivery time of the first item using the first artificial intelligence model, and a relationship graph. By using, it is possible to provide a method for predicting the amount of shipment for each item of a distribution warehouse using an artificial intelligence model, including the step of determining a predicted amount of shipment of the first item in consideration of a plurality of external factors that change according to the time-series flow.
机译:根据启动,在由计算机执行的方法中,获取关于存储在分发仓库中的第一项的送货历史的信息的步骤,获取关于与第一项的运输时间相关的多个外部因素的信息。通过计算在使用第一人为智能模型的第一项的递送时间和关系图中,通过计算在第一项的递送时间中发生的各个外部因素中的每一个来产生影响第一项的外部因素的关系图的步骤。通过使用,可以提供一种用于使用人工智能模型预测分配仓库的每个项目的装运量的方法,包括确定在多个外部的第一项的预测运输量的步骤根据时间序列流程改变的因素。

著录项

  • 公开/公告号KR20210045346A

    专利类型

  • 公开/公告日2021-04-26

    原文格式PDF

  • 申请/专利权人 최병록;

    申请/专利号KR1020200181371

  • 发明设计人 최병록;

    申请日2020-12-22

  • 分类号G06Q10/08;G06N20;G06N3/08;G06Q10/06;

  • 国家 KR

  • 入库时间 2022-08-24 18:27:41

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