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2. 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.

3. 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.

4. Revenue management - Wikipedia

   en.wikipedia.org/wiki/Revenue_management

   These involve building specialized forecasts such as market response models or cross price elasticity of demand estimates to predict customer behavior at certain price points. [ 4 ] By combining these forecasts with calculated price sensitivities and price ratios, a revenue management system can then quantify these benefits and develop price ...

5. Google Says It Can Predict Movie Sales - AOL

   www.aol.com/2013/06/07/google-says-it-can...

   Google Inc. (NASDAQ: GOOG) can do nearly everything from search to maps that show people where they are, to providing the world's most popular operating system. It now claims it has the key to how ...

6. Sales and operations planning - Wikipedia

   en.wikipedia.org/wiki/Sales_and_operations_planning

   The S&OP process includes an updated forecast that leads to a sales plan, production plan, inventory plan, customer lead time (backlog) plan, new product development plan, strategic initiative plan, and resulting financial plan. Plan frequency and planning horizon depend on the specifics of the context. [1]

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 ]