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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.

Early Intervention

By: ElectrifAi LLC Latest Version: 1.0.1

Product Overview

Evaluate risk at the time of acquisition with this risk model to periodically calculate a risk score and intervene early to limit loss. The objective - find the RPC (Right Party Contact) for the collection agency to reach the delinquent customer. With enhanced modeling tools, an Early Intervention solution was developed for Top US credit card issuers and reduced the annual credit loss by over 15% and increased profitability by over $50 million. Additional opportunities identified, include realignment of agents to queues, additional early collections treatment strategies and scope expansion to business cards and exempt portfolios. To preview our machine learning models, please Continue to Subscribe. Sample Data is representative of the Output Data but does not actually consider the Input Data. Our machine learning models return actual Output Data and are available through a private offer. Please contact info@electrifai.net for subscription service pricing. SKU: EITVN-PS-CCC-AWS-001

Key Data

Version
By ElectrifAi LLC
Categories
CRM
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Support Information

AWS Infrastructure

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

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