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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.

Mphasis DeepInsights Damage Prediction

By: Mphasis Latest Version: 1.3.1

Product Overview

Damaged Shipment Prediction model takes images of shipments at various stages of delivery cycle & predicts whether the shipment’s packaging is damaged or not. It can be used by logistics firms to assess damages and identify stages with high risk of incurring damage, optimize the stages and deliver shipments on-time without damage.

Key Data

Version
By Mphasis
Categories
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

Support Information

Mphasis DeepInsights Damage Prediction

For any assistance, please reach out to:

https://www2.mphasis.com/AWS-Marketplace-Support-LP.html

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Currently we do not support refunds, but you can cancel your subscription to the service at any time.

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