Best method for revenue and sales forecasting

I am working on a revenue and sales time series data, and I am trying to find the best forecast model. The data is daily for about 4 years and there are multiple seasonality in the data. I have used ARIMA, exponential smoothing, TS decomposition and a dummy regression models so far. But I am still not sure if these models are the best choices. I was wondering if there are better models which are suitable for the daily data with intense seasonality?