HAQM Forecast is no longer available to new customers. Existing customers of HAQM Forecast can continue to use the service as normal. Learn more
Advanced automated machine learning
HAQM Forecast uses machine learning (ML) to generate more accurate demand forecasts with just a few clicks, without requiring any prior ML experience. HAQM Forecast includes algorithms that are based on over twenty years of forecasting experience and developed expertise used by HAQM.com bringing the same technology used at HAQM to developers as a fully managed service, removing the need to manage resources. HAQM Forecast uses ML to learn not only the best algorithm for each item, but the best ensemble of algorithms for each item, automatically creating the best model for your data.
Rapidly onboard with no-code deployment
Reduce time to market by using AWS CloudFormation and AWS Step Functions to quickly deploy a complete end-to-end workflow, from data importing to forecasts, with no code needed. Set up ongoing workflow executions on your required schedule (daily, weekly, etc.), and build scalable and repeatable production processes.
Automatically and continuously monitor your model quality
HAQM Forecast automatically tracks the accuracy of your model over time as new data is imported. You can systematically quantify your model’s deviation from initial quality metrics and make more informed decisions about keeping, retraining, or rebuilding the model as new data comes in. This allows you to quickly respond to external factors, such as changes in the economic environment or in consumer behavior, that can impact the forecasting capability of a model.
Forecast Explainability
Explore what factors, such as price, holidays or weather, are driving your forecasts with HAQM Forecast, which provides forecast Explainability report in the form of impact scores for all your forecasts, specific time series of interest or specific time durations. Explainability provides you more insight into better managing your business operations.
Automatically include local weather information
With Weather Index, HAQM Forecast can increase your forecasting accuracy by automatically ingesting local weather information in your demand forecasts with one click and at no extra cost. Weather conditions influence consumer demand patterns, product merchandizing decisions, staffing requirements, and energy consumption needs. When you use the Weather Index, Forecast trains a model with historical weather information for the locations of your operations and uses the latest 14-day weather forecasts on items that are influenced by day-to-day variations to create more accurate demand forecasts.
Generate probabilistic forecasts
Unlike most other forecasting solutions that generate point forecasts, HAQM Forecast generates probabilistic forecasts at three different quantiles by default: 10%, 50% and 90%. In addition, you can choose any quantile between 1% and 99%, including the 'mean' forecast. This allows you to choose a forecast that suits your business needs depending on whether the cost of capital (over forecasting) or missing customer demand (under forecasting) is of importance.
Works with any historical time series data to create accurate forecasts
HAQM Forecast can use virtually any historical time series data (e.g., price, promotions, economic performance metrics) to create accurate forecasts for your business. For example, in a retail scenario, HAQM Forecast uses machine learning to process your time series data (such as price, promotions, and store traffic) and combines that with associated data (such as product features, floor placement, and store locations) to determine the complex relationships between them. By combining time series data with additional variables, HAQM Forecast can be 50% more accurate than non-machine learning forecasting tools.
Save time and compute by forecasting only the items most important to your business
With the ability to focus your forecasts on only a subset of items in your dataset, HAQM Forecast provides you with controls to optimize your workflows, increase productivity, and reduce cost. You can train your model with all of your data, then apply it selectively to the subset of items most important to your business objectives. This lets you to cut operational and compute costs, and focus on your most critical forecasts.
Easily evaluate the accuracy of your forecasting models
HAQM Forecast provides six different comprehensive accuracy metrics to help you understand the performance of your forecasting model and compare it to previous forecasting models you’ve created that may have looked at a different set of variables or used a different period of time for the historical data. HAQM Forecast automatically splits your data into a training and testing set allowing you to download the forecasts it generates for the testing set for you to use a custom metric to evaluate the accuracy or allows you to create multiple backtest windows and visualize the metrics, helping you evaluate model accuracy over different start dates.
