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Amazon Forecast now supports what-if analyses

Large-scale revenue forecasting at Bosch with Amazon Forecast and Amazon SageMaker custom models

Conduct what-if analyses with Amazon Forecast, up to 80% faster than before

Automate your time series forecasting in Snowflake using Amazon Forecast


Technical Guide: This technical paper introduces forecasting, its terminology, challenges, and use cases. This document uses a case study to reinforce forecasting concepts, forecasting steps, and references how Amazon Forecast can help solve the many practical challenges in real-world forecasting problems.


Developer Guide: Provides a conceptual overview of Amazon Forecast, includes detailed instructions for using the various features, and provides a complete API reference for developers.  


You can find additional samples to get started with on GitHub.  

Solution Implementation: The Improving Your Forecast with Machine Learning solution enables customers to bring models to production faster and with less overhead costs by generating, testing, comparing, and iterating on forecasts from Amazon Forecast. You can use this solution to accurately predict retail inventory demand, supply-chain planning, workforce status, web traffic forecasting, and more.


Sample notebooks

You can find workshops, notebooks and MLOps samples to get started on Github.

Videos & tutorials

AWS re:Invent 2020: Building a successful inventory planning solution with Amazon Forecast

Blog posts & articles

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What's new

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Learn about Amazon Forecast pricing
Learn about Amazon Forecast pricing

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Get started building with Amazon Forecast in the AWS Management Console.