NEW YORK, Oct. 13, 2011 (GLOBE NEWSWIRE) -- Felipe Fernandez, Interefe Founder and Partner, is scheduled to speak at the Predictive Analytics World, New York, where he will share how he has used Salford Systems' data mining software to predict the sales correlated with marketing and promotional campaigns. The speaking session will take place on Wednesday, Oct. 19, 2011, at 2 p.m.
This case study will show how we created an automated, high-speed prediction/optimization system by leveraging data mining. The system predicts retail sales on a product–by–product basis throughout a network of retail stores and is used for planning, logistics, and optimization with respect to pricing, promotion and assortment. There were many challenges, as the company works with more than 100,000 products, operates networks of hundreds of brick and mortar stores, and predictions must be updated frequently. Additionally there were constraints related to product promotion and contracts with suppliers that limited our flexibility. The company overcame the challenges and achieved new levels of accuracy and reliability.
"Analytics capabilities provided by Salford Systems' TreeNet gave me the answers I was looking for by allowing my former company to build thousands of high performance predictive models," Said Fernandez. "With this tool we turned our company complexity into a truly competitive advantage for a highly promotional environment."
About Salford Systems
Founded in 1893, Salford Systems specializes in providing new-generation data mining and predictive modeling software and consulting services for industries for industries such as banking, insurance, healthcare, pharmaceutical, telecommunications, transportation, manufacturing, retail and catalog sales, and education. The company's CART®, MARS®, TreeNet® and RandomForests® data mining software are currently installed in over 3,5000 sites worldwide, including 300 major universities. Salford Systems is headquartered in San Diego, CA. For more information, visit http://www.salford-systems.com or telephone 619-543-8880.
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The following files are available for download:
| wkr0005.pdf |