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 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 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 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.