Patent application number | Description | Published |
20080263104 | UPDATING A DATA WAREHOUSE SCHEMA BASED ON CHANGES IN AN OBSERVATION MODEL - A method, information processing system, and computer readable medium for modifying at least one data warehouse schema based on detected changes in an associated observation model are disclosed. The method includes determining if at least one new observation model has been created. The method also includes determining if at least one existing observation model is associated with the new observation model. In response to the existing observation model being associated with the new observation model, at least one changed attribute is identified by comparing the new observation model and the existing observation model. A set of files associated with the existing observation model is updated to reflect the changed attribute between the new observation model and the existing observation model. | 10-23-2008 |
20090216789 | MANAGEMENT OF TIME-VARIANT DATA SCHEMAS IN DATA WAREHOUSES - A system, method, and computer readable medium for preserving information in time variant data schemas are disclosed. The method includes determining if at least one modification request associated with a database schema has been received. In response to the modification request being received, a metadata table associated with the database schema is updated to include at least one entry associated with the modification request. The entry identifies an instance in time when an action associated with the modification request was performed. | 08-27-2009 |
20100023340 | METHOD AND SYSTEM FOR EVALUATING PRODUCT SUBSTITUTIONS ALONG MULTIPLE CRITERIA IN RESPONSE TO A SALES OPPORTUNITY - A system and method evaluate product substitutions along multiple criteria in response to a sales opportunity, for instance, providing sales recommendations of configurable products in response to a customer request based on propensity functions. A customer propensity is determined to estimate attractiveness of a substitute product to a customer based on one or more attributes. A seller propensity is determined to estimate attractiveness to a seller of selling the substitute product based on one or more attributes. The customer propensity and the seller propensity are combined to find a plurality of substitute products. | 01-28-2010 |
20110264636 | UPDATING A DATA WAREHOUSE SCHEMA BASED ON CHANGES IN AN OBSERVATION MODEL - A method, information processing system, and computer readable medium for modifying at least one data warehouse schema based on detected changes in an associated observation model are disclosed. The method includes determining if at least one new observation model has been created. The method also includes determining if at least one existing observation model is associated with the new observation model. In response to the existing observation model being associated with the new observation model, at least one changed attribute is identified by comparing the new observation model and the existing observation model. A set of files associated with the existing observation model is updated to reflect the changed attribute between the new observation model and the existing observation model. | 10-27-2011 |
20120150682 | METHOD AND SYSTEM FOR EVALUATING PRODUCT SUBSTITUTIONS ALONG MULTIPLE CRITERIA IN RESPONSE TO A SALES OPPORTUNITY - A system and method evaluate product substitutions along multiple criteria in response to a sales opportunity, for instance, providing sales recommendations of configurable products in response to a customer request based on propensity functions. A customer propensity is determined to estimate attractiveness of a substitute product to a customer based on one or more attributes. A seller propensity is determined to estimate attractiveness to a seller of selling the substitute product based on one or more attributes. The customer propensity and the seller propensity are combined to find a plurality of substitute products. | 06-14-2012 |
20120323633 | SUPPLY CHAIN MANAGEMENT SOLUTION - A method, system and computer program product are disclosed for providing an integrated solution to a set of supply chain optimization problems. In one embodiment, the method comprises defining a distribution network, vehicle routing, inventory positioning, and environmental sustainability for a supply chain; and combining an optimization of the distribution network, the vehicle routing, the inventory positioning, and the environmental sustainability into a single problem. In an embodiment, the optimization of the distribution network, the vehicle routing, the inventory positioning, and the environmental sustainability are combined into a single problem by using analytical engines. In one embodiment, these analytical engines include an inventory positioning engine to identify an inventory policy, a network analysis engine to identify a network structure, a vehicle routing engine to identify routes for delivering products, and a sustainability engine to quantify energy use and carbon emissions of defined actions. | 12-20-2012 |
20130173493 | OPTIMIZING PROCUREMENT SPEND COMPLIANCE - Managing spend compliance may include receiving a set of spend transaction records containing one or more spend attributes, one or more compliance business rules and one or more investment scenarios that increase spend compliance. The compliance business rules may be applied to the transaction records and segments of transactions with predetermined high savings opportunities may be determined. A prioritized investment plan over one or more time periods that yield optimized return on investment may be generated based on applying the segments of transactions and the investment scenarios. | 07-04-2013 |
20140207513 | METHODS AND APPARATUS FOR PROCUREMENT - Systems and techniques for procurement of equipment and services are disclosed. Data is collected relating to operations of an organization and the information is made accessible to vendors who may supply goods and services for carrying out the operations. The collected data may include information relating to inputs of the operations, size, shape, and weight of objects handled in the operations, actual and desired throughput, energy use, waste, and other data. Data may be anonymized before being made accessible to vendors, and proposals made by vendors in response to data from a particular organization may be directed to the organization from which the data is collected. | 07-24-2014 |
20140207516 | Methods and Apparatus for Procurement - Systems and techniques for procurement of equipment and services are disclosed. Data is collected relating to operations of an organization and the information is made accessible to vendors who may supply goods and services for carrying out the operations. The collected data may include information relating to inputs of the operations, size, shape, and weight of objects handled in the operations, actual and desired throughput, energy use, waste, and other data. Data may be anonymized before being made accessible to vendors, and proposals made by vendors in response to data from a particular organization may be directed to the organization from which the data is collected. | 07-24-2014 |
20140310064 | PRICING PERSONALIZED PACKAGES WITH MULTIPLE COMMODITIES - A top-down and bottom-up approach that decomposes product bundles to components, classifies them into different groups corresponding to a component similarity measure, and detects their inherent values. The bundles are reassembled and characterized by several key attributes according to their component inherent values, and classified into segments. A normalized utility model is constructed for each product bundle segment, taking into account the additive effect among different commodity types and product families. The goodness of fit of the top-down and the bottom-up model may be validated. The model may be applied in an RFQ pricing environment. | 10-16-2014 |
20140310065 | PRICING PERSONALIZED PACKAGES WITH MULTIPLE COMMODITIES - A top-down and bottom-up approach that decomposes product bundles to components, classifies them into different groups corresponding to a component similarity measure, and detects their inherent values. The bundles are reassembled and characterized by several key attributes according to their component inherent values, and classified into segments. A normalized utility model is constructed for each product bundle segment, taking into account the additive effect among different commodity types and product families. The goodness of fit of the top-down and the bottom-up model may be validated. The model may be applied in an RFQ pricing environment. | 10-16-2014 |