ValueError: Number of features of the model must match the input

I am using random forest model to predict the sales quantity.
I have listed all parts in a row based while the quantity is in a monlthy based (each column represent a month)
During splitting the data in to train and test:
the training data will have less columns than the test set. meaning that I added one month to the test data.
when i run the model, an error is rasied :
ValueError: Number of features of the model must match the input. Model n_features is 22 and input n_features is 23.

Could you please help me on how to tackle this problem.

your help is really appreciated,
thanks in Advanced

No repository file, test, or entry point is named, and the issue provides no code to inspect. Start by examining how the training and test data are split and why the model has 22 features while the input has 23; done means the model and prediction input use matching feature dimensions.

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