This article discusses Amazon Forecast, a fully managed time-series forecasting service that allows businesses to utilize deep learning and statistical models for accurate demand forecasting, even without prior machine learning experience.

Specifically, the article covers:

• How deep learning models used by Amazon Forecast outperform traditional statistical models in leveraging large datasets, making long-term predictions, and incorporating related data signals.
• The AutoML feature of Amazon Forecast that automatically trains and selects the best forecasting model for your data.
• Key considerations for planning forecasting efforts, such as understanding inventory flow, identifying forecasting goals, and outlining performance evaluation processes.
• The three types of datasets required for Amazon Forecast: target time-series data (required), related time-series data (optional), and item metadata (optional).
• The end-to-end workflow for generating forecasts using Amazon Forecast.
• Conclusion: Amazon Forecast is designed to enable teams to quickly generate accurate forecasts and leverage machine learning for demand forecasting.