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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.

Pricing Optimization

By: ElectrifAi LLC Latest Version: 1.0.0

Product Overview

Optimize prices and monetize unused pricing power. The Continuous Price Recommender uses a three-pronged approach to identify inelastic SKUs and stores to grow margins with price increases. The Point of Sale Price Elasticity Model calculates the price sensitivity of each store, department and SKU as necessary. The Customer Behavior Analysis breaks down transaction-level basket contents, size and shopping patterns. Demographics and Competitor Intensity Analysis, Multidimensional Clustering and Price Recommendations contribute to the model's analysis. 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: PRCEO-PS-RET-AWS-001

Key Data

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

Usage Information

Fulfillment Methods

Amazon SageMaker

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