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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.

Retail Store Product Demand Forecasting
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By: VITech Lab Latest Version: 1.0

Product Overview

The Product Demand Forecasting Solution is a cloud-native predictive analytics ML model that analyzes multiple data points, including historical sales data, inventory data, and growth projections to generate up to 50% more accurate product demand forecasts. The solution is scalable and customizable, allows for manual adjustments. It supports batch (schedule) and real-time forecasting, and it can be integrated through RESTful API. The ML model can be used by small- and midsize retailers to cut overstock/stockouts, optimize inventory, and increase supply chain efficiency

Key Data

By VITech Lab
Type Algorithm
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

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Retail Store Product Demand Forecasting

If you have any issues or feature requests, please write to us, and we will be happy to help you as soon as possible. We can also create custom software and models optimised for your specific use case. Reach us at:

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