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What you describe sounds more like a forecast than a prediction. Time series forecasting typically involves looking at product revenues or amounts sold by month over some long period of time to them make a forecast of amounts sold in the upcoming N months. Time Series generally focuses on aggregate level forecasts over a series of future time periods whereas ODM is more about making a prediction and is more focused on predicting an individual;s behavior e.g. Who will buy a Buick in the near future? You can sum all the predictions up and get a forecast for month N1 but this isn't really what you are looking for I think. I think you might want to read this blog re: How to perform Time Series forecasting using ODM's SVM algorithm http://oracledmt.blogspot.com/2006/01/time-series-forecasting-part-1_23.html
Yes, it's forecast.
Some time ago I posted a question on: Multiple Regression in ODM
I received advice: "you can either build a single model and use the multiple target value capabilities of the classification model to handle this use case. The Build node incorporates a "balanced" performance setting, that does a pretty good job at insuring an high average accuracy".
But I don't know how technically use classification (how to configure model in ODM?) for making forecast for multiple product id's (for only +1 month as I undestand).
Regarding time series and article: this article relates to use PL/SQL and my question is whether it is possible to make such forecasts for many prod id and for many further months using only workflow.