Get 50% more Accurate and Faster forecasting with Amazon Forecast
Our services are based on the same technology used at Amazon.com, Amazon Forecast uses machine learning to combine time series data with additional variables to build forecasts. You only need to provide historical data, plus any additional data that you believe may impact your forecasts. Multiple types of time series forecasts are required to run a business, from cash flow to product demand to resource planning. Amazon Forecast allows building forecasts for virtually every industry and use case, including retail, logistics, finance, advertising performance, and many more. Using machine learning, Amazon Forecast can work with any historical time series data and use a large library of built-in algorithms to determine the best fit for your particular forecast type automatically.
For example, the demand for a product such as fashion apparels in a retail business may change with the seasons and store location. This complex relationship is hard to determine on its own, but machine learning is ideally suited to recognize it. Once you provide your data, Amazon Forecast will automatically examine it, identify what is meaningful, and produce a forecasting model capable of making predictions that are up to 50% more accurate than looking at time series data alone.
Amazon Forecast is a fully managed service, so there are no servers to provision, and no machine learning models to build, train, or deploy.