SAS Visual Forecasting allows users to generate large numbers of trustworthy forecasts, quickly and automatically, using time series, machine learning and deep learning techniques. It comes with a no/low-code user interface, as well as a programmatic interface where users can code in SAS and open-source languages such as Python and R. Key features include: automatic data preparation, hierarchical forecasting, automatic segmentation of time series, incorporation of external drivers and events in a simple manner, hybrid forecasting techniques, interactive modeling capabilities, a framework to scale open-source algorithms in the cloud, a user friendly way for flexible overrides, and easy deployment of forecasting pipelines.