Abstract: An inventory, disposition, and order management system and method utilizes multiple data sources to obtain complementary and augmented product data to determine an enhanced set of product data that reflects product inventory and disposition history information in a supply chain. The system and method can utilize the complementary and augmented product data to formulate recommended orders to achieve product dealer sales goals. The system and method compare the product data obtained from the data sources and reconcile any discrepancies. In at least one embodiment, the product data includes product identification data, product inventory data, product configuration data, and product disposition history data. Obtaining data from multiple sources allows the system and method to develop more accurate and complete data through an audit and reconciliation process as opposed to data obtained from a single source.

Abstract: An inventory, disposition, and order management system and method utilizes multiple data sources to obtain complementary and augmented product data to determine an enhanced set of product data that reflects product inventory and disposition history information in a supply chain. The system and method can utilize the complementary and augmented product data to formulate recommended orders to achieve product dealer sales goals. The system and method compare the product data obtained from the data sources and reconcile any discrepancies. In at least one embodiment, the product data includes product identification data, product inventory data, product configuration data, and product disposition history data. Obtaining data from multiple sources allows the system and method to develop more accurate and complete data through an audit and reconciliation process as opposed to data obtained from a single source.

Abstract: An inventory, disposition, and order management system and method utilizes multiple data sources to obtain complementary and augmented product data to determine an enhanced set of product data that reflects product inventory and disposition history information in a supply chain. The system and method can utilize the complementary and augmented product data to formulate recommended orders to achieve product dealer sales goals. The system and method compare the product data obtained from the data sources and reconcile any discrepancies. In at least one embodiment, the product data includes product identification data, product inventory data, product configuration data, and product disposition history data. Obtaining data from multiple sources allows the system and method to develop more accurate and complete data through an audit and reconciliation process as opposed to data obtained from a single source.

Abstract: A system and method of multi-objective visualization utilize a multiple-objective optimizer approach to multi-objective optimization and specifically utilize a method for exploring and visualizing Pareto surfaces for any number of dimensions using an interactive graphical user interface. The general solution is to maintain all natural problem objectives separately and use a special multiple-objective optimizer to solve the problem. In this case there is no single solution point. Rather, the solution is a hyper dimensional surface in an objective space with various surface points representing different tradeoffs between objectives.