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  2. Demand forecasting - Wikipedia

    en.wikipedia.org/wiki/Demand_forecasting

    The final step is to then forecast demand based on the data set and model created. In order to forecast demand, estimations of a chosen variable are used to determine the effects it has on demand. Regarding the estimation of the chosen variable, a regression model can be used or both qualitative and quantitative assessments can be implemented.

  3. Forecasting - Wikipedia

    en.wikipedia.org/wiki/Forecasting

    Forecasting is the process of making predictions based on past and present data. Later these can be compared with what actually happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis.

  4. Delphi method - Wikipedia

    en.wikipedia.org/wiki/Delphi_method

    The Delphi method or Delphi technique (/ ˈ d ɛ l f aɪ / DEL-fy; also known as Estimate-Talk-Estimate or ETE) is a structured communication technique or method, originally developed as a systematic, interactive forecasting method that relies on a panel of experts.

  5. Trade promotion forecasting - Wikipedia

    en.wikipedia.org/wiki/Trade_Promotion_Forecasting

    A bottom-up sales forecast at the SKU-account/POS level requires taking into account product attributes, historical sales levels and store specifics. The large number of different variables which describe the product, the store and the promotion attributes, both quantitative and qualitative, could potentially have many different values.

  6. Kohl's banks on cost controls, leaner inventories to lift ...

    www.aol.com/news/kohls-cuts-annual-sales...

    Kohl's quarterly comparable sales fell a bigger-than-expected 5.1%, and it now expects annual net sales to decline between 4% to 6%. Excluding items, Kohl's earned 59 cents per share, beating ...

  7. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    Predictive analytics is a set of business intelligence (BI) technologies that uncovers relationships and patterns within large volumes of data that can be used to predict behavior and events. Unlike other BI technologies, predictive analytics is forward-looking, using past events to anticipate the future. [ 3 ]

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  9. Recession forecasts have been wrong for years. Here's why a ...

    www.aol.com/finance/recession-forecasts-wrong...

    That may be why there's a rabid interest in projecting when the next recession will come. The benefits of such a call vary. It can help, or hurt, political parties amid an election year. It can ...

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