Our goal is to keep it as simple as we can, keeping the worries about model selection and tuning on our side as much as possible, therefore we don't go much into those details.
I can share that our platform is built on top of ARIMA models, but with a lot of pre-processing work done previously to try and figure out automatically the best parameters to use, as well as a lot of previous hand-tweaking done by ourselves in-house using different datasets (we started out tuning it for forecasting energy consumption, but figured that the resulting models were performing well enough to warrant testing in other domains).
Right now we're opening it up for testing to get more feedback on its performance, so feel free to shoot any more questions or feedback.
I can share that our platform is built on top of ARIMA models, but with a lot of pre-processing work done previously to try and figure out automatically the best parameters to use, as well as a lot of previous hand-tweaking done by ourselves in-house using different datasets (we started out tuning it for forecasting energy consumption, but figured that the resulting models were performing well enough to warrant testing in other domains).
Right now we're opening it up for testing to get more feedback on its performance, so feel free to shoot any more questions or feedback.