Briefs

Using Data Mining to Predict Inventory Levels

CHICAGO, IL -- (MARKET WIRE) -- 11/15/2005 -- Apollo Data Technologies (http://www.apollodatatech.com/) announced today its Inventory Forecasting Solution that allows retailers to predict product order levels weeks into the future across their entire store chain. Based on Apollo's advanced predictive models, Inventory Forecasting Solution accurately predicts sales trends and prevents out-of-stock situations for retailers. Apollo's models can also predict the quantities of inventory to stock to keep overstocking costs to a minimum.

Apollo Data Technologies Inventory Forecasting Solution is comprised of four main components which are built on top of SQL Server 2005 technology: First, a modeling database is created which imports a retailer's sales and inventory data from their enterprise data warehouse. Second, predictive models are built from sales and inventory patterns identified in the modeling database. Third, the models are tested with actual sales data to calculate and measure the predictive accuracy and sales opportunity. Finally, the predictive models are then deployed and integrated with the retailer's SCM system to close the loop on their ordering pipeline.

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