The predictive analytics component, allow planners to define which type of predictions to run, selecting the measures to be forecasted and defining the historic data to be analyzed, while using influencers, with different statistical models, using previously created planning hierarchies, to define data grouping, and exclude outliers. All can be executed from a planning button, so there is no need to deeply understand statistics, the solution will do it for you!

Predictive analysis will show the impact of trends, cycles, seasonality and outliers in your predictions. With machine learning it will show you the estimated MAPE of your forecast.

Use Top-Down planning functionalities to input uplifts, distributions, adding new products, once the statistical baseline has been created. Based on Building blocks concept, to keep track of the forecast changes.

Use Stories and dashboards to analyze MAPE and BIAS. keep track of your planning versions. visualize your demand plan KPI´s compared with actuals and budget. Use selected forecast version to build your operational plan. using the Supply Network Optimizer all integrated on the same platform!