I am new to Machine Learning forecasting.
I am struggling to understand how XGBoost is used for time series forecasting.
For example, I have sales history for last 24 months. Starting from 01-Jul-2022 till 01-Jul-2024.
Now I want to get forecast for next 12 months from 01-Aug-2024 till 01-Aug-2025.

All the documentation and videos show how to split the last 24 months of data as train and test and then predict for test data. Then compare predictions with test data and evaluate error.

However I am not getting information about how to use this predict next 12 months sales quantity.
Can some experts help on this?

Thanks in advance for the help.

Python code was build but again I get predictions for test data for comparison.
I need sales quantity for next 12 months.