Forecasting New Products and Services with Forecast Pro

Forecasting New Products and Services with Forecast Pro New products and services introductions are very important and critical to any company’s success and portfolio development.  Forecast Pro has included several methods in most of versions of the software.   Forecasting by Analogy In some conditions, we can use analogy approach to forecasting new products or […]

Projecting the Impact of COVID-19 on the Demand using Machine Learning.

Projecting the Impact of COVID-19 on the Demand using Machine Learning. Measuring and estimating the demand impact of any product and service is crucial for economic and energy planning and policy discussions. The Covid-19 pandemic has caused the demand for fuel to fall almost everywhere in countries that have adopted a reduction in human activities, […]

Forecasting with Qualitative Methods

Forecasting with Qualitative Methods The qualitative forecasting uses an approach and estimation methods based on the perception, evaluation and judgment of managers and experts within and outside the company. Thanks to their knowledge, expertise and experience, these people are able to build sales forecasts and other variables (market shares, new products, etc.) that fill gaps, […]

Forecasting Sales using Statistical Models

Forecasting Sales using Statistical Models In « How do I use Statistical Models to Forecast Sales? », published by Forecast Pro, you will find an excellent description of the main statistical methods and techniques to forecast any variables. All these methods are integrated in the latest version of Forecast Pro Trac 6. Sales and demand forecasters have […]

Machine Learning and statistical models are complementary

Machine Learning and statistical models are complementary Sales forecasting methods based on artificial intelligence, including Machine Learning and Deep Learning, are now nuggets that companies can add to their arsenal of methods and techniques to develop their sales forecasts. How can Machine Learning predict sales ? With a large amount of sales data over long […]