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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.

Upsell

By: ElectrifAi LLC Latest Version: 1.0.0

Product Overview

Predict the score of upsell probability. For example, if a customer buys car insurance this year, use that information to provide add-ons or higher-priced options the next year. Combined customer segmentation and propensity model covers 256 coverage portfolios, 327 organization and 384 customer groups. This model uses customer demographic data, previous product purchases, insurance product type, and contact history with call center and sms response. To preview our machine learning models, please Continue to Subscribe. To preview our sample Output Data, you will be prompted to add suggested Input Data. 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: UPSEL-PS-CCC-AWS-001

Key Data

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

Usage Information

Fulfillment Methods

Amazon SageMaker

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