Documentation

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.

PDF

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.  

HTML | PDF

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.

HTML

Videos

Learn How to Accurately Forecast Demand with Amazon Forecast
AWS re:Invent 2020: Building a successful inventory planning solution with Amazon Forecast
Accelerate and Simplify Time Series Analysis and Forecasting with Amazon Forecast

Blog posts & articles

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Learn about Amazon Forecast pricing

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