Forecast Intelligence: Turn Your Historical Data Into a Forecast for Free

Forecast Intelligence is a free web tool that lets you generate a demand forecast from your historical data. It helps you better understand demand behavior, identify patterns and create an initial forecast estimate without relying on complex manual processes.

To get started, upload a CSV file with your demand history. The file must include at least one date column, one product or product-customer column and one quantity column. You can also include revenue if you want to analyze the forecast from a financial perspective.

Once the file is uploaded, choose the type of forecast you want to calculate. Most users work with quantity, but you can also forecast revenue if you want to analyze the economic evolution of your demand.

Next, define the analysis frequency. You can group the data monthly or weekly, depending on the level of detail you need. Then, select the forecast horizon by indicating how many months or weeks you want to project.

The next step is choosing the analysis level. You can generate a total business forecast, analyze it by product or go one level deeper by product-customer. If you work with many references, we recommend starting with an aggregated view and then drilling down.

After that, select the forecasting method. Linear trend is useful for series with no clear seasonality. The seasonal method is recommended when recurring patterns exist. Exponential smoothing lets you work with a more flexible forecast and confidence intervals.

When you run the calculation, the tool will display both historical data and the forecast in a chart. The solid line represents historical data, while the dotted line shows the generated forecast. You can also activate or deactivate products, adjust parameters and recalculate to compare different scenarios.

As a result, you will get an initial demand forecast that helps you visualize trends, detect relevant behaviors and make decisions based on a clearer, more structured foundation.