Fildes, Robert and Schaer, Oliver and Svetunkov, Ivan and Yusupova, Alisa (2020) Survey: What’s new in forecasting software? Operations Research Management Science Today, 47 (4). ISSN 1085-1038
Full text not available from this repository.Abstract
When a company is looking into purchasing forecasting software, it inevitably faces the kid-in-a-candy shop situation: There are lots of options, but the forecasting needs may well be quite specific, and the budget is typically constrained. Never has there been a larger choice of forecasting software solutions on the market than now. In addition to new startups that supply very specific machine learning (ML) and artificial intelligence (AI) algorithms, established business intelligence software companies are adding more and more predictive time-series analysis tools to their product lines. As a result, it is difficult to choose the most appropriate product to meet prospective users’ needs. With this years’ biennial forecasting software survey, we aim to provide some insights on the recent development in this industry sector.