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METHOD AND SYSTEM FOR GENERATING DISAGGREGATED DEMAND FORECASTS FROM ENSEMBLE DEMAND FORECASTS

机译:从包容性需求预测中产生分散需求预测的方法和系统

摘要

Methods and systems for forecasting demand for a plurality of items are provided. In particular, the demand forecasting system and methods described herein are useful for predicting demand of products in a retail context. Forecast models are built and used to score incoming sales data to predict future demand for items. Forecast models are validated by evaluating actual demand against predicted demand and using that information to inform how future ensemble forecast will be generated. Forecasts may be broken down into smaller components to satisfy a variety of requests for data from client applications.
机译:提供了用于预测多个项目的需求的方法和系统。特别地,本文描述的需求预测系统和方法可用于预测零售环境中的产品需求。建立了预测模型,并将其用于对传入的销售数据进行评分,以预测项目的未来需求。通过根据预测需求评估实际需求并使用该信息来告知将来的整体预测将如何生成来验证预测模型。预测可以细分为较小的部分,以满足来自客户端应用程序的各种数据请求。

著录项

  • 公开/公告号US2020134641A1

    专利类型

  • 公开/公告日2020-04-30

    原文格式PDF

  • 申请/专利权人 TARGET BRANDS INC.;

    申请/专利号US201816172588

  • 申请日2018-10-26

  • 分类号G06Q30/02;G06N5/04;G06Q10/06;G06F3/0481;

  • 国家 US

  • 入库时间 2022-08-21 11:21:25

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