Siebel Systems, Inc.

Michael Tsunghsi Yu

Jai-Jein Yu

Do Joon Ra

Piyush Govil

Brian Groves

Karen Brodersen

Karen Hsu

Catheryne M Nicholson

Andrzej P Mazur

Yan Tan

Michael Zhen Hao Li

A dynamic pricing system and method that enables prices for sellable objects to be dynamically adjusted using pricing factors corresponding to attributes of the sellable objects. Product administrators are enabled to define sellable products and extended attributes for the products, while pricing administrators are enabled to define price lists for the sellable products and extended attributes. Sales representatives build sellable objects, such as quotes, orders, shopping carts, etc, by adding products that customers would like to purchase to the sellable object. Additionally, extended attributes may be selected for all or a portion of the products. Using Static Pricing, an initial or static price is determined for the sellable objects. The static price may then be dynamically adjusted prior to or at the point of a sales transaction or offer using pricing factors corresponding to combinations of various attributes of the sellable object and/or products from which it is built.

Dynamic pricing system and method

System and method for preparing, using, and displaying a state model of a process, as an industrial or business process, as a sequence of discrete steps. The state model defines the behavior of the logical objects making up a process model of the process as (1) a set of permitted states and (2) a set of permitted transitions between the permitted states. The state model is created by selecting a template for the state model, and selecting industrial or business object components for the state model (for example, by using &ldquo;OOP&rdquo; methods or other programming paradigms). The user then selects or defines state transitions for the state model, for example, by defining permitted state transitions from a &ldquo;from state&rdquo; to a &ldquo;to state&rdquo;. The defined or selected state transition rules are identified to State Transition Rule names. That is, state transitions are associated to specific state transition rules, names, and conditions, and the state transition names and state transition rule names are enumerated. The specific state transition rules corresponding to the names are extracted from a database. The extracted states, transitions, and rules define the state machine execution engine. This state machine execution engine is used to process business models.

State models for monitoring process

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San Jose, CA, United States of America

Michael Tsunghsi Yu