Bayesian time series disaggregation

You can have multiple observed variables in a model without issue. You could take the exact model I posted, then continue adding lines below the y_hat variable that use the latent mu_quarterly_sales time series however you please. You should keep the observed low frequency series though, so that the model has to take into account that the disaggregated time series has to plausibly generate that data (in addition to whatever your final data of interest are)