Sap Ag

Harald Weppner

Thomas Odenwald

Oliver Baecker

Gerhard Gebhard

Rajwinder Singh

Apparatus, systems, and methods operate to partition a product feature set into a set of included features and a set of feature upselling candidates determined by a corresponding set of decision variables. The decision variables can be determined, in turn, by maximizing a profit function comprising a sum of first mathematical products (each product including profit, probability of sale, and a decision variable) over the product feature set, subject to the condition that a sum of second mathematical products (each product including feature utility and a decision variable) over the product feature set is less than or equal to the utility of the product feature set combined with a base product, minus the utility of a competing product. Operations may include designating an initial sales product configuration as a combination of a base product and the set of included features. Additional apparatus, systems, and methods are disclosed.

Partitioning product features

A method, as well as a computer program product that implements the method, is provided for user modeling, within a computer system, of a lifecycle of uniquely identified computer data objects that are members of a computer data object family. The method includes receiving a user-defined triggering event occurring in a software application system. The method also includes receiving user-defined permissible states for one or more object attributes that may be present for a uniquely identified computer data object that is a member of the data object family, as well as user-defined permissible transitions between the defined permissible states. The method also includes receiving a user-defined action to be performed on a uniquely identified computer data object that is a member of the computer data object family, when the user-defined triggering event occurs and causes a permissible state transition to occur.

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Redwood City, CA, United States of America

Harald Weppner