Howard Products Selects Accelerated Analytics for POS Data Collection and Analysis

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Howard Products has selected Accelerated Analytics for POS data collection and analysis. The Accelerated Analytics service provides Howard Products with a simple and effective way to track sales and inventory at their retail customers.

The Rainmaker Group, creators of the Accelerated Analytics inventory management service, is pleased to announce Howard Products, Inc. has selected Accelerated Analytics for POS data collection and analysis.

Under the agreement Accelerated Analytics collects weekly sales, inventory, and purchase order data from Howard Products retail customers and provides detailed analysis and management dashboards. Since Accelerated Analytics is a hosted service Howard Products eliminates the mundane data manipulation tasks without the costly expense of software or hardware.

"We are very pleased to add Howard Products to our growing Accelerated Analytics family of customers," said Rainmaker Group President & CEO Chad Symens.

Steven Pugh of Howard Products commented "Accelerated Analytics allows us to quickly come up with exceptions reports showing when on-hand levels are below desired levels and even red flag zero quantities. With this information we are able to offer support to our retail customers stores that need it most and increase the service level for our customers overall. Having management type reports with charts showing information like our (upward) trend analysis on sales is invaluable."

For more information on the Accelerated Analytics service visit http://www.AcceleratedAnalytics.com or contact:

Scott Garber

Marketing Coordinator, Rainmaker Group

330-375-1222

About Rainmaker Group

The Rainmaker Group is a data warehouse and software engineering firm that created the Accelerated Analytics service to provide POS information services to vendors and retailers. The Accelerated Analytics service improves sales and supply chain visibility by providing an easy solution for sharing and analyzing sales and inventory data without any of the technical headaches.

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CHAD SYMENS
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