Abstract: The present invention relates to systems and methods for optimizing bidding in a business-to-business environment. Initially the observed outcomes for n deals are received, and the belief parameters for these n deals are calculated. The Bayes-greedy price is then calculated and presented to a buyer. The buyer's response is collected and an optimal variance parameter based on the buyer's response is generated. The belief parameters for these n+1 deals are also updated. This process may be repeated for additional deals.

Abstract: The present invention relates to systems and methods for optimizing bidding in a business-to-business environment. Initially the observed outcomes for n deals are received, and the belief parameters for these n deals are calculated. The Bayes-greedy price is then calculated and presented to a buyer. The buyer's response is collected and an optimal variance parameter based on the buyer's response is generated. The belief parameters for these n+1 deals are also updated. This process may be repeated for additional deals.

Abstract: The present invention relates to systems and methods for optimizing bidding in a business-to-business environment. Initially the observed outcomes for n deals are received, and the belief parameters for these n deals are calculated. The Bayes-greedy price is then calculated and presented to a buyer. The buyer's response is collected and an optimal variance parameter based on the buyer's response is generated. The belief parameters for these nil deals are also updated. This process may be repeated for additional deals.

Abstract: The present invention relates to systems and methods for optimizing bidding in a business-to-business environment. Initially the observed outcomes for n deals are received, and the belief parameters for these n deals are calculated. The Bayes-greedy price is then calculated and presented to a buyer. The buyer's response is collected and an optimal variance parameter based on the buyer's response is generated. The belief parameters for these n+1 deals are also updated. This process may be repeated for additional deals.

Abstract: The present invention relates to systems and methods for waterfall adjustment analysis which identifies continuous root dimensional causes and enables identification of opportunities. Waterfall adjustment analysis includes analyzing transactions to generate a data set of transactions, and then generating a continuous root dimensional cause classification by setting recoverable lift as a dependent variable and selected dimensions as independent variables, and clustering transactions into segments along dimensional boundaries that best explain the primary waterfall cause, thereby identifying the root cause and its location. In some embodiments, the transactions may be pre-processed before processing to allow for the examination of adherence to specific business hypotheses.

Abstract: The present invention relates to systems and methods for price point analysis which identifies dynamic root dimensional causes and enables identification of opportunities. Price point analysis includes analyzing transactions to generate a data set of transactions, identifying a primary waterfall cause of the data set, and lastly generating a discrete root dimensional cause classification by setting the primary waterfall cause as a dependent variable and all other dimensions as independent variables, and clustering the transactions into segments along dimensional boundaries that best explain the primary waterfall cause, thereby identifying the root cause and its location. In some embodiments, the transactions may be pre-processed before analyzing.

Abstract: The present invention relates to systems and methods for comparing segments. In these systems and methods, an output from a segmentation process is received. This output is reduced to a pruned set of segments. Next, separate graphs of connected segments are generated. The graphs provide a first order classification of the segments into non-overlapping spaces. The process of generating separate graphs utilizes graph theory in which each segment is a node. A central node within each of the separate graphs is identified. Lastly, the most profitable segments connected to the identified central node for each graph are analyzed for.

Abstract: The present invention relates to systems and methods for brute force traversal of a transaction data set. In some embodiments, the systems and methods for brute force traversal receive a data dictionary that describes dimensions of transactions and hierarchical relationships between the dimensions. The transactions are then segmented according to a key system of possible combinations of segments. Statistical metrics of decision variables are calculated within each segment. Further, the ancestor segments for each segment are identified. The statistical metrics of each segment are compared to each of its ancestor segment's statistical metrics in order to identify outliers.

Abstract: The present invention relates to systems and methods for measuring the effectiveness of mass price changes. In some embodiments, a mass price change with an effective date is inputted. This mass price change may then be cross referenced by the price protection and price cap terms to calculate a total price cap and price protection adjustment for each deal, which is then enforced upon each deal to yield a total revenue impact, which is what is actually realized by the mass price change after the total price cap and price protection adjustment. The total revenue impact may then be applied to generate an adjusted price. The adjusted price may be displayed in conjunction with the negotiated price to fully illustrate the mass price change effectiveness.

Abstract: The present invention provides a flexible pricing method for providing pricing adjustments for a product in a deal in response to price variations in selected indexes. The method comprises: designating an index for the product wherein said index has a published index value; and computing a price for said product based on said published index value. The invention also provides for periodically re-pricing deals with index-based pricing terms.

Abstract: The present invention presents systems and methods for organizing price modeling data using hierarchically organized portfolios including a collection of transactions in a transaction database representing a first hierarchical level; collections of hierarchically organized portfolios at higher hierarchical levels than a previous hierarchical levels, the hierarchically organized portfolios representing selections from the previous hierarchical level where the hierarchically organized portfolios are arranged to be responsive to an enterprise approval hierarchy.

Abstract: The present invention provides a flexible pricing method for providing pricing adjustments for a product in a deal in response to price variations in selected indexes. The method comprises: designating an index for the product wherein said index has a published index value; and computing a price for said product based on said published index value. The invention also provides for periodically re-pricing deals with index-based pricing terms.

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.

Abstract: Systems and methods for generating margin sensitive pricing quotation in an integrated price adjustment system including: a) selecting products in selected product sets; b) providing pricing data corresponding to the products in selected product sets; c) providing guidance elements for products in selected product sets wherein guidance elements are margin sensitive; d) calculating guidance prices for products based upon guidance elements; e) selecting one of either pricing data or guidance prices; and f) generating a quotation based upon selections made such that margin sensitive pricing adjustments are incorporated into quotations. In some example embodiments, the present invention further includes providing predetermined suggestions for modifying the quotation.

Abstract: A revenue causality analyzer that provides attribution of causality effects for changes in revenue. The analyzer includes a selector for selecting a reference time period and a comparison time period, a receiver configured to receive transaction data including pricing data and volume data about the products at reference and comparison times, a preparer that includes a missing data exchanger and data error corrector, an attributor for attributing causality effects including a price effect, a volume effect, a mix effect an exchange effect, a cost effect, a dividend effect, a loss effect, and an inventory appreciation effect, by analyzing transaction data through a causality equation; and an output. Price effect sums the product of change in price and volume of the products across the products and currencies. Volume effect multiplies change in volume by the revenue per product sold. Mix effect multiplies percent revenue change by the volume of products sold.

Abstract: The present invention relates to business to business market price control and management systems. More particularly, the present invention relates to systems and methods for generating price modeling and optimization modules in a business to business market setting wherein price changes are optimized to achieve desired business results.

Abstract: The present invention provides a system suitable for displaying price modeling data having an indexing module that calculates indexes based on price modeling data and a display module configured display a calculated index. Other embodiments provide a data aggregation module that aggregates indexes calculated by the indexing module that may be also be displayed.

Abstract: The present invention presents systems and methods of future-pricing in an integrated price management system. The invention provides a method of maintaining at least one deal with a lowest price status for at least one product in the price management system by inputting a proposed price for product; searching the price management system for deals having the product with the lowest price status; defining a current lowest price as equal to the price of the product; and, if said proposed price is less than said current lowest price, then computing a potential revenue impact of lowering the price of said product to the proposed price.

Abstract: Pricing decisions and policies in a price management system are made based on a unified database populated with correlated commitment data and transaction data. A historical database is populated with commitment data and transaction data. Each transaction data is then correlated with a commitment data. The resulting correlated data is then analyzed to make pricing decisions and policies.

Abstract: An apparatus and method for preparing a price quote for a product. The product is selected from among a plurality of products. A determination is made as to whether the product is a member of a particular product collection. This determination includes evaluating a dynamic selection rule set associated with the particular product collection. When the product is determined to be a member of the particular product collection, the method includes the additional steps of (i) identifying one or more price rules associated with the particular product collection and (ii) applying these price rules to the product in order to determine the price quote for the product.