Check out this piece on automated time-series forecasting at Google. It's a fun and quick read. Several aspects are noteworthy.
On the upside:
-- Forecast combination features prominently -- they combine forecasts from an ensemble of models.
-- Uncertainty is acknowledged -- they produce interval forecasts, not just point forecasts.
On the downside:
-- There's little to their approach that wasn't well known and widely used in econometrics a quarter century ago (or more). Might not something like Autobox, which has been around and evolving since the 1970's, do as well or better?