For three decades, major retailers—worldwide—have relied on Churchill Systems to provide big data demand forecasting and analytics solutions that support their manual and automated retail planning processes.

Historically, Churchill began as an artificial intelligence IBM partner.  Today, Churchill’s enhanced, AI neural network technology remains a cornerstone of Churchill’s pattern-recognizing demand intelligence solutions (e.g. price & promotion elasticity & cannibalization).  And now we have added advanced statistical methodologies that solve other difficult retail demand intelligence challenges such as life cycle forecasting and seasonal, location and size clustering/profiling. Churchill’s very complete solutions are the “engines” that add forecasting & analytic values to literally billions of detailed retailer planning rows (e.g. assortment, allocation, inventory, pricing & promotion).  Customers include Wal-Mart, Sears, Bass Pro, Valero, Makro, Avon & QVC.
 
Looking forward, retailing is undergoing an incredible business revolution.  One remaining constant is the need to deeply understand and predict customer behavior.  To meet the new challenge, Churchill has transformed its large-scale retail demand intelligence solutions to address this new world.  We are delivering newly designed and enhanced prediction & analytic solutions that retain Churchill’s historically high performance but now dramatically lower solution risks and both upfront and lifecycle solution expense.  Note: Six international retailers have already put our new solutions to the test.

Recently, we’ve completely overhauled our Churchill website. Now included are a series of website navigational paths that based on your challenges and requirements.  Please visit our new website for more details:  www.churchillsystems.com

Direct Inquiries to:
Scott Light
Director of Sales				               
scott.light@churchillsys.com
248.649.1800 ext. 405

Analytics

Retail

Software

AI/ML

Churchill Systems Inc.

Churchill Systems Inc.'s headquarters in Ann Arbor, MI, United States

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Scott Light

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