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Conduct what-if analyses with Amazon Forecast, up to 80% faster than before
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Generate cold start forecasts for products with no historical data using Amazon Forecast, now up to 45% more accurate
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.