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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.

Freight Cost Prediction

By: vLife Latest Version: 1

Product Overview

The supply chain is one of a provider’s largest cost centers, and represents one of the most significant opportunities for healthcare organizations to trim unnecessary spending and improve efficiency. Predictive tools are in high demand among hospital executives looking to reduce variation and gain more actionable insights. The solution is trained on 10K+ records of open source supply chain health commodity shipment and pricing data. A machine learning model is robustly trained to accept 15+ variables pertaining to 15+ countries and predict the cost incurred to deliver the shipment.

Key Data

By vLife
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

Support Information

AWS Infrastructure

AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services. Learn more

Refund Policy

This product is offered for free. If there are any questions, please contact us for further clarifications.

Customer Reviews