Patent application number | Description | Published |
20080235130 | System and Computer Program for Modeling and Pricing Loan Products - A computing system ( | 09-25-2008 |
20090144101 | System and Method Determining Reference Values of Sensitivities and Client Strategies Based on Price Optimization - A computer implemented method for determining the reference values of sensitivities and strategies for price optimization demand models from a profit function and current product price. A total profit objective is expressed as the maximization of profit and volume, where a strategy parameter represents the relationship between profit and volume. From the total profit objective, the bounds of the strategy parameter are expressed as conditional inequalities relating the bounds to functions of the unit profit at the current rate and average volume. The strategy parameter is then set to the average of these bounds. The reference elasticity is expressed as a function of the unit profit function and average volume. The resulting reference values can be used in a price optimization system to generate recommended prices that relate to an industry's current pricing scheme. | 06-04-2009 |
20090144103 | Method and System Incorporating Business Rules and Price Optimization for Financial System - A computer system for modeling a portfolio of products in a financial system to determine the rate of a target product. The products are defined by attribute values, an attribute being any criteria that impacts product rates. Linear associated product rules are used by the computer system to create an optimized scenario of total profit and overall volume of sales for the portfolio. From the optimized scenario a rate for the target product can be determined which maintains a financial institution's strategic and business objectives. The optimizing process includes applying the associated product rules to products actively contributing to key performance indicators. Densification is then used to infer the rate for all other products in the portfolio. Finally, if the starting rate of a product violates an associated product rule, the starting rate is relaxed to avoid the violation. | 06-04-2009 |
20090144123 | System and Method of Demand Modeling for Financial Service Products - A computer system is provided which models financial products such as demand deposits and time deposits. The computer system collects transactional data related to a plurality of financial products. The demand model includes an acquisition model, average balance model, and time demand renewable model for predicting customer responses to changes in interest rate based on the transactional data. The demand model evaluates consumer response through account opening, balance variations, and time deposit renewals. The demand model can also predict effects of cannibalization, seasonality, promotions, and time-dependent demand on the financial products. The cannibalization model estimates model parameters by demand group level, categorical level, and multicurrency level. The interest rate is optimized for each of the financial products by utilizing one or more of the acquisition, average balance, time demand renewable, cannibalization, seasonality, promotional, and time-dependent models. The optimized interest rate is exported to a financial institution. | 06-04-2009 |
20110071857 | System and Method for Management of Financial Products Portfolio Using Centralized Price and Performance Optimization Tool - A computer-implemented method controls commercial transactions involving a portfolio of financial products by conducting business operations related to commercial transactions between a bank and consumer involving purchase and utilization of the financial products, collecting transactional data related to the financial products, and providing a centralized modeling and optimization tool to predict customer response to changes in an attribute of a financial product under evaluation based on the transactional data and to optimize the variable of the financial product under evaluation. The modeling and optimization tool is configurable to evaluate the financial products in the portfolio under KPIs and business rules selected according to the financial product under evaluation. The optimized variable is transmitted to the bank. The movement and utilization of the financial products between the customer and bank is controlled in accordance with the predicted customer response to changes in the optimized variable of the financial product. | 03-24-2011 |
20120254092 | MANAGING OPERATIONS OF A SYSTEM - A computer-implemented method for managing operations of a system includes deriving a nonlinear modeling function from a nonlinear response function, defining an allowed range for output values of the nonlinear modeling function, determining a range of a first set of input values of the nonlinear modeling function based on the allowed range of the output values, deriving a nonlinear probability function from the nonlinear response function, receiving the first set of input values, calculating the output values by processing each input value in the first set of input values through the nonlinear modeling function, determining, using the probability function, a relative probability of performing a first future system operation for each input value of the first set of input values and displaying, for each input value in the first set of input values, the corresponding output value and the corresponding probability. | 10-04-2012 |
20130159059 | FREIGHT MARKET DEMAND MODELING AND PRICE OPTIMIZATION - Various embodiments herein include at least one of systems, methods, and software for freight market demand modeling and price optimization. Some such embodiments include acquiring historical data regarding hauled loads, bid loads that were not hauled, data representative of at least one of current and expected conditions, and data representing business goals. The acquired data may then be mapped to market segments and a statistical, spot load demand model is generated for each market segment based on a number of factors included in the mapped data including at least a load price factor. A demand and price forecast model may next be generated for each market segment based on the generated model and the data representative of at least one of current and expected conditions. For each market segment, a pricing element may then be determined based on the respective market segment model and forecast in view of the business goals. | 06-20-2013 |
20140006106 | ADAPTIVE IN-MEMORY CUSTOMER AND CUSTOMER ACCOUNT CLASSIFICATION | 01-02-2014 |
20140058794 | Method And System For Orders Planning And Optimization With Applications To Food Consumer Products Industry - A system, a computer program product, and a method for order planning and optimization are disclosed. A first data is received, where the first data represents historical shipment data of an item from a distributor to a location. The received first data is processed and a model for at least one shipping pattern of the item from the distributor to the location is determined based on the processed received first data. A forecast for a future shipping demand of the item by the location is generated based on the determined model. At least one shipping pattern of the item from the distributor to the location is optimized based on the generated forecast. | 02-27-2014 |
20140143110 | Circular Transaction Path Detection - Example systems and methods of circular transaction path detection are presented. In one example, a directed graph comprising nodes and directed edges interconnecting the nodes is generated. The directed graph is based on information describing a plurality of parties and a plurality of transactions between the parties. A circular path length of interest is received. Strongly connected components of the directed graph are identified. Within each of the strongly connected components, each circular path having a length equal to the circular path length of interest is discovered. For each discovered circular path, the transactions represented by the directed edges of the path are denoted as related transactions. | 05-22-2014 |