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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Demand Forecasting for Intermittent Data
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By: Peak Latest Version: 0.1

Product Overview

Forecasting demand accurately is key to running an efficient supply chain, keeping inventories stocked to the ideal levels and fulfilling your customer orders. Analytics-based demand forecasting is more accurate than other approaches, allowing you to minimise money tied up in stock, avoid shortages at times of high demand and identify otherwise hidden inefficiencies. This algorithm trains an ensemble demand forecasting model, for use on intermittent data (i.e. data with a high proportion of values that are zero or missing).

Key Data

Version
By Peak
Categories
Type Algorithm
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

Support Information

Demand Forecasting for Intermittent Data

For support using this algorithm, contact: support@peak.ai

https://peak.ai/

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