Abstract: A system and method is disclosed for root cause analysis and early warning of inventory problems. The system includes a server coupled with a database and configured to access the data describing inventory policy parameters of a supply chain network, the data describing one or more demand patterns and one or more replenishment patterns of the supply chain network, and the data describing the supply chain network comprising a plurality of entities, each entity configured to supply one or more items to satisfy a demand. The server is further configured to optimize the inventory policy parameters for each of the one or more items according to the one or more demand patterns and the one or more replenishment patterns and store the optimized inventory policy parameters in the database for each of the one or more items.

Abstract: A system and method is disclosed for root cause analysis and early warning of inventory problems. The system includes a server coupled with a database and configured to access the data describing inventory policy parameters of a supply chain network, the data describing one or more demand patterns and one or more replenishment patterns of the supply chain network, and the data describing the supply chain network comprising a plurality of entities, each entity configured to supply one or more items to satisfy a demand. The server is further configured to optimize the inventory policy parameters for each of the one or more items according to the one or more demand patterns and the one or more replenishment patterns and store the optimized inventory policy parameters in the database for each of the one or more items.

Abstract: A system and method is disclosed for root cause analysis and early warning of inventory problems. The system includes a server coupled with a database and configured to access the data describing inventory policy parameters of a supply chain network, the data describing one or more demand patterns and one or more replenishment patterns of the supply chain network, and the data describing the supply chain network comprising a plurality of entities, each entity configured to supply one or more items to satisfy a demand. The server is further configured to optimize the inventory policy parameters for each of the one or more items according to the one or more demand patterns and the one or more replenishment patterns and store the optimized inventory policy parameters in the database for each of the one or more items.

Abstract: The present invention provides methods and systems for use in association with an online advertising auction. Advertiser bid information may be obtained, including a maximum amount per impression and a target click through rate (“CTR”). Following serving, if a delivered CTR is equal to or greater than the target CTR, then pricing per impression is at the maximum amount. If, however, the delivered CTR is less than the target CTR, then pricing per impression is at an amount equal to the maximum amount per impression multiplied by the ratio of the delivered CTR to the target CTR.

Abstract: A system and method is disclosed for root cause analysis and early warning of inventory problems. The system includes a server coupled with a database and configured to access the data describing inventory policy parameters of a supply chain network, the data describing one or more demand patterns and one or more replenishment patterns of the supply chain network, and the data describing the supply chain network comprising a plurality of entities, each entity configured to supply one or more items to satisfy a demand. The server is further configured to optimize the inventory policy parameters for each of the one or more items according to the one or more demand patterns and the one or more replenishment patterns and store the optimized inventory policy parameters in the database for each of the one or more items.