Abstract: A system and/or method that effectuates and facilitates the generation and provision of differential pricing policies based at least in part on the relative social network standing that a seller might have with a potential purchaser are provided. The system includes a component that receives data associated with a seller, a good, or a service that the seller lists for sale or barter in an online market place. The component determines, based at least in part on the particular good or service, a differential pricing policy that can be associated therewith. The differential pricing policy can then be utilized to selectively provide differentiated prices to a purchaser based on a relative social network standing that can be established between the purchaser and the seller.

Abstract: A method and a system for predicting shrinkable yield for business assessment of integrated circuit design shrink are provided. An assessment system is provided to determine cost benefits of a design shrink of an integrated circuit chip. A cost benefit analysis across different design shrink technologies is provided early in the process, so that business decisions regarding employment of design shrinks can be made as early as possible.

Abstract: Techniques are described for using predictive pricing information for items to assist in evaluating buying and/or selling decisions in various ways, such as on behalf of end-user item acquirers and/or intermediate item providers. The predictive pricing for an item may be based on an analysis of historical pricing information for that item and/or related items, and can be used to make predictions about future pricing information for the item. Such predictions may then be provided to users in various ways to enable comparison of current prices to predicted future prices. In some situations, predictive pricing information is used to assist customers when purchasing airline tickets and/or to assist travel agents when selling airline tickets. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Data processing services are offered on a per-unit basis, where a unit is, for example, an application program running on a server. Environmental complexity, level of change, and type of environment are determined for each unit of the services and points are assigned. The points are summed to give a count of points for each unit, and the counts of points are summed to provide a total number of points. A baseline price for the services is divided by the total number of points to provide a per-point price. The price of any unit may then be determined by multiplying its count of points by the per-point price. When a new unit is added in, its count of points is determined. The baseline price is then adjusted by multiplying the count of points for the new unit by the per-point price, and adding the result to the previous baseline.

Abstract: The present invention comprises a method and system for a rapid and automated creation of a price schedule comprising steps and an implementation for providing a set of construction (or other) plans created with an architectural, civil, industrial or other software design tool, such as CAD, and optionally a palette of 2-dimensional and/or 3-dimensional architectural parametric symbols that correspond to respective construction plan elements, such as windows, doors, acrylic glass blocks and/or sky lights. At least one parametric symbol corresponding to a construction plan element is preferably inserted into the construction plans. A cost value for each of the inserted parametric symbols is preferably calculated corresponding to respective plan elements. A price schedule is then optionally created which includes the total cost for all of the inserted parametric symbols corresponding to respective plan elements.

Abstract: A method of classifying retail products and services includes providing a listing of groupings of at least one of retail products and services in a computerized system, and providing a listing of price level groups defined within the computerized system. The method also includes receiving a user selection of groupings of at least one of retail products and services from the listing of groupings of at least one of retail products and services and a user-selected price level group from the listing of price level groups. The method also includes and assigning the user-selected price level group to the user selection of groupings.

Abstract: Systems and methods are provided for monitoring and enforcing price parity. In one implementation, a computer-implemented method monitors price parity. The method includes generating, by a server, a task related to pricing of an item. The server receives, in response to the task, a first price and a second price of the item. The first price corresponds to an offering price of the item by a third-party seller via a sales channel of a retailer and the second price corresponds to an offering price of the item by the third-party seller via a sales channel of the third-party seller. The server evaluates whether the second price violates a price parity rule, based on at least a comparison of the first price and the second price.

Abstract: A system for determining price models of a print market port including a processor and a computer-readable storage medium in communication with the processor, wherein the computer-readable storage medium comprises one or more programming instructions for: partitioning a job dataset into a plurality of categories, each of the plurality of categories having a pricing model; determining one or more factors within the job dataset that influence a price of each job; developing an input/output model for each job in the job dataset that influences the price of the job; performing an iteration to compute a prediction error for each job in the job dataset that influences the price of the job; removing one or more jobs from a subsequent iteration that include prediction errors that exceed a prediction error threshold; and performing a plurality of iterations on remaining jobs until a predetermined average error prediction is reached.

Abstract: A computer network may include a host computer and a plurality of computer workstations selectively connectable thereto at which user work sessions may be initiated. Each computer workstation when disconnected from the host computer (e.g., due to server outage, etc.) may advantageously initiate a user session responsive to a user request and store session information for updating the respective user account balance when reconnected with the host computer. Additionally, when the computer workstations are connected to the host computer they may copy respective user account balances from the host computer upon initiation of user sessions, and update the copied account balances based upon computer usage during the respective user sessions. The computer network may also include at least one reservation computer for cooperating with the host computer to schedule user session reservations and provide a requesting user an estimated time before a user session will be made available.

Abstract: Techniques for managing and estimating supply costs, by drilling down through detailed component lists of tree structured component specifications and rolling up pricing estimates based on predetermined, projected and available criteria and automatically accounting for costs in an organized manner. The costs may be analyzed from a historical perspective, accounting for future costs based on historical cost data within a given past or future date range. The costs may also be analyzed based on average costs of available costed items. Quotes can be received from suppliers for use in estimating supply costs. In addition, scenarios such as partnership splits, where multiple suppliers manufacture and supply common components to buyers at same or different prices, can be taken into account.

Abstract: To determine pricing recommendations for goods and service products in a business-to-business environment, a set of transaction data corresponding to a set of products are processed to generate a set of pricing recommendations optimized according to an objective. Furthermore, a set of product segments may be determined, transaction data may be associated with one or more of the product segments and a demand model and associated price elasticity may be formulated for one or more of the product segments based upon the transaction data associated with the segment. Using these formulated price elasticities, pricing recommendations for each product may be determined for each of a set of customers. Using an optimization process, price elasticities are used to determine price dependent entity goals for any combination of products, customers and sets of prices, using a mathematical objective function.

Abstract: A method includes accessing project information that includes values for one or more parameters of a project. The method further includes determining from the project information a project duration for the project, a time value of money for the project, a variability for the project, and an expected project price. A price premium for the project is generated according to the project duration, the time value of money, the variability value, and the expected project price, using an option-pricing mathematical model for financial instruments.

Abstract: Methods and systems are disclosed for analyzing products. An embodiment provides a method. In one implementation, a method includes but is not limited to identifying a weak attribute of a component in the product; and generating a recommendation related to the weak attribute of the component. In addition to the foregoing, other aspects are described in the description, claims, and drawings that form the present disclosure.

Abstract: Systems and methods, specifically computer implemented systems and methods for determining cost-plus pricing for pharmaceuticals. Specifically, systems and methods which can provide for transparent pricing which helps to provide a reasonable profit for a pharmacy while also generally providing competitive or reduced cost prescriptions to individual patients.

Abstract: A method and structure for pricing a good or service to a customer includes a calculator that executes a pricing model that includes a dimension of a utility of the good or service to the customer.

Abstract: Systems and methods for optimizing marketing strategies. Various embodiments implement methods which can include generating a plurality of candidate solutions which satisfy pricing rationality constraints. The candidate solutions can be generated when processing resources are available for performing a Monte Carlo algorithm. The candidate solutions can be stored and a master and trade off metric can be selected. Values for these selected metrics can be evaluated (at the candidate solutions) and then input into the approximate efficient frontier algorithm. The algorithm can output an approximate efficient frontier. Users can select any of the efficient solutions on the frontier to obtain associated pricing recommendations by mousing over the efficient frontier. Various metrics associated with the efficient frontier may be updated at about the same time as the master and trade off metrics are selected.

Abstract: A customer whose conditional purchase offer (CPO) has been accepted may receive a bounce back offer from a vendor (supplier-partner) of other services or products. The bounce back process determines whether a supplier-partner can participate in a bounce back transaction. If a bounce back transaction is effectuated between the customer and supplier-partner, the partner notifies the principal of the transaction. In the case of automobile rentals, the bounce back process permits a traveler to recognize reduced automobile rental rates while enabling a rental agency to more effectively manage its excess capacity. The CPO management system employing bounce back capability can be utilized to acquire any underlying product and/or service and bounce back product and/or service.

Abstract: A computer-implemented system and method are described in which an appropriate pricing structure for a new stationery design is identified by automatically comparing attributes of the stationery design with attributes of existing stationery designs which have assigned pricing structures. In one embodiment, the attributes are prioritized such that certain attributes are weighted more than other attributes when determining an appropriate price structure. For example, in this embodiment, a search is initially performed for a price structure of an existing stationery product which shares all of the same attributes as the new stationery product. If a match is not found, then the least significant attribute is removed from the set of search criteria and another search is performed. This process continues until an existing pricing structure of a stationery product which shares the most significant attributes of the new stationery product is identified.

Abstract: A configuration and quotation processing method and system, a configuration and quotation device, and a configuration conversion device are provided. The method includes: acquiring a sales bill of material (SBOM) configuration rule of a product; calculating a configuration bill of material (BOM) of the product according to the SBOM configuration rule, a product price, and received quotation configuration parameters; filtering the configuration BOM according to a preset output content and structure rule to generate an SBOM of the product; and converting the SBOM into a base bill of material (BBOM) according to an SBOM to BBOM (S2B) conversion rule. As such, a client-oriented SBOM can be automatically generated, thereby ensuring the accuracy of the SBOM, and improving the work efficiency.

Abstract: A power and risk score calibrator is provided, which receives quantitative power and risk scores for each quantitative segment, and receives qualitative power and risk scores for each qualitative segment. The qualitative segment and the qualitative power and risk scores are defined by a user. The system generates consolidated segments. Then consolidated power and risk scores for each of the consolidated segments are generated, respectively. The gaps between the qualitative power and risk scores and the consolidated power and risk scores are reconciled. From these reconciliations, adjustment factors are generated, which are applied by pricing power and risk value calibrators. The system may also perform a drill down to explain the gap between the qualitative scores and the consolidated scores.