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  2. Demand forecasting - Wikipedia

    en.wikipedia.org/wiki/Demand_forecasting

    Demand forecasting is the prediction of the quantity of goods and services that will be demanded by consumers at a future point in time. [1] More specifically, the methods of demand forecasting entail using predictive analytics to estimate customer demand in consideration of key economic conditions. This is an important tool in optimizing ...

  3. Demand management - Wikipedia

    en.wikipedia.org/wiki/Demand_management

    Demand management is the responsibility of the marketing organization (in his definition sales is subset of marketing); 2. The demand "forecast" is the result of planned marketing efforts. Those planned efforts, not only should focus on stimulating demand, more importantly influencing demand so that a business's objectives are achieved.

  4. Delphi method - Wikipedia

    en.wikipedia.org/wiki/Delphi_method

    Transhumanism. v. t. e. The Delphi method or Delphi technique (/ ˈdɛlfaɪ / 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. [1][2][3][4][5] Delphi has been widely used for business ...

  5. Market analysis - Wikipedia

    en.wikipedia.org/wiki/Market_analysis

    The literature defines several areas in which market analysis is important. These include: sales forecasting, market research, and marketing strategy. Not all managers will need to conduct a market analysis. Nevertheless, it would be important for managers that use market analysis data to know how analysts derive their conclusions and what ...

  6. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    Predictive analytics is a form of business analytics applying machine learning to generate a predictive model for certain business applications. As such, it encompasses a variety of statistical techniques from predictive modeling and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events. [1]

  7. Demand sensing - Wikipedia

    en.wikipedia.org/wiki/Demand_sensing

    Demand sensing is a forecasting method that uses artificial intelligence and real-time data capture to create a forecast of demand based on the current realities of the supply chain. [1][2] Traditionally, forecasting accuracy was based on time series techniques which create a forecast based on prior sales history and draws on several years of ...

  8. Economic forecasting - Wikipedia

    en.wikipedia.org/wiki/Economic_forecasting

    Economic forecasting is the process of making predictions about the economy. Forecasts can be carried out at a high level of aggregation—for example for GDP, inflation, unemployment or the fiscal deficit —or at a more disaggregated level, for specific sectors of the economy or even specific firms. Economic forecasting is a measure to find ...

  9. 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.