Abstract: The present invention is a method and system of identifying supply chain business scenarios using data from one or more Serialized Global Trade Identification Number (sGTIN) tag reads or other explicit supply chain data. Scenarios are asserted by calculating changes in data and comparing those with user definitions of scenario event combinations. A processor acquires the scenario definitions from a user defined metadata of products, locations, and measure variance criteria and correlates the sGTIN event reads and other events with this metadata to identify defined events that are not observed in the sGTIN event reads or other explicit data, or not observable by the tag readers. The system has a method for communicating these implicit events back to users.

Abstract: A method and system of creating and populating clusters of retail stores or trading locations, using qualitative or quantitative data such as store performance, historical data, demographic etc. is described herein. A user specifies criteria, which is applied to store data. Cluster definitions are acquired from user defined metadata and correlated to new and changing stores.