Hello @Lorenzo_Marinoz
The question in this challenge would be what do you want to do (?)…
You don’t provide previous year historical data; some statistical data is needed aiming to ‘predict’ seasonality. Is this sample all your available data?
Otherwise you just can extrapolate (average daily sales in the month applied to remaining working days…) To do so, business background and knowledge would be the only tool for fine tuning of the prediction.
I can offer you to take a look into the following workflow . Provided data in this workflow, covered one year monthly sales for two products. In the first ‘Column Expressions’ node I can predict seasonality of sales by calculating the differential percentage from previous month. So plotting the differentials gives you a trend about ‘sales seasonality’ .
If your historical data increases (more years), you can illustrate statistics about seasonality (mean differential, standard deviation…); with this type of data you would start to think about time series analysis.
As @MartinDDDD commented, please share what you’ve tried so far.
BR