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CONSUMPTION-DRIVEN FORECASTING USING MULTI-LEVEL HETEROGENEOUS INPUT DATA

机译:使用多级异构输入数据进行消费驱动的预测

摘要

A method, system, and computer program product for generating forecasts and replenishment plans. Some embodiments commence upon receiving point-of-sale data, then receiving distribution-level order data in a second data format. The first point-of-sale data comprises an item identifier and a first date or first date range, and the distribution-level order data comprises the item identifier and a second date or second date range. The originators of the order data are determined using address identifiers (e.g., network location identifiers). The received data is combined wherein at least a portion of the point-of-sale data is combined with at least a portion of the distribution-level order data to generate a combined forecast for the item. Further processing includes receiving an inventory model parameter and combining at least a portion of the first point-of-sale consumption data with at least a portion of the distribution-level order data to generate a replenishment plan for the item.
机译:一种用于生成预测和补给计划的方法,系统和计算机程序产品。一些实施例从接收销售点数据开始,然后以第二数据格式接收分发级订单数据。第一销售点数据包括项目标识符和第一日期或第一日期范围,而分销级订单数据包括项目标识符和第二日期或第二日期范围。使用地址标识符(例如,网络位置标识符)确定订单数据的始发者。合并接收到的数据,其中将至少一部分销售点数据与至少一部分分发级订单数据进行组合,以生成商品的组合预测。进一步的处理包括:接收库存模型参数,以及将第一销售点消费数据的至少一部分与分发级订单数据的至少一部分进行组合,以生成物品的补充计划。

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