Case Study: The client needs to cleanse their data not forecast. In order to have accurate reporting by Canton (County), they use Autobox to identify pulses and level shifts and the historical data is restated without these effects.

Business Problem: Increased losses on credit card charge due to bankruptcy or non payment With the economic slowdown and the unemployment rate, financial institutions are facing new challenges to maintain good financial health.

Presentation: The process of discovering new causal variables: Is unpredictable. Driven by gleaning patterns from historical forecast errors and outliers identified by Autobox. Often leads to causal variables we didn't know existed.

Business Problem:In-Stock conditions not maximized and inventories at retail too large. The heart of the solution to improving in-stock conditions and minimizing inventories lies in the ability to accurately forecast demand for products at retail.

Presentation: Planning the Final Mile of the Supply Chain at Anheuser-Busch, presented at the IBF conference February 23 & 24, 2004. How Anheuser-Busch partnered with a major retail grocery chain to create orders for individual stores.