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US Patent 12014387 System, method, and computer program for providing a pricing platform for performing different types of pricing calculations for different customers

Patent 12014387 was granted and assigned to Apttus on June, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Apttus
Apttus
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Current Assignee
Apttus
Apttus
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120143870
Patent Inventor Names
Sriranga Srinivasa Reddy Meeniga0
Maulik Patel0
Koti R. Nandyala0
Balu Jaidev Sreekumar0
Ramananda Gubbi Ramachandra0
Date of Patent
June 18, 2024
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Patent Application Number
173844020
Date Filed
July 23, 2021
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Patent Citations
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US Patent 8644842 Personal augmented reality advertising
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US Patent 9495222 Systems and methods for performance indexing
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US Patent 9519907 Method and apparatus for efficient delta pricing
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US Patent 10289261 Visualization of spending data in an altered reality
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US Patent 10521491 Real-time and computationally efficient prediction of values for a quote variable in a pricing application
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US Patent 10621640 Augmented and virtual reality quote-to-cash system
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US Patent 10783575 System, method, and computer program for deploying a prepackaged analytic intelligence module for a quote-to-cash application while protecting the privacy of customer data
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US Patent 11232508 Quote-to-cash intelligent software agent
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Patent Primary Examiner
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Romain Jeanty
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Patent abstract

The present disclosure relates to a system, method, and computer program for providing a pricing platform for performing pricing calculations for a plurality of different customers with different types of pricing calculations. An instance of the price-calculation pipeline is created for each of a plurality of customers of the pricing platform. The instances of the price-calculation pipeline are executed to perform pricing calculations for a plurality of different customers with different types of pricing calculations. For each instance of the price-calculation pipeline, a performance metric is generated for each of the modular pricing stages within the instance. The performance metrics are displayed in a user dashboard that provides user controls that enable the user to adjust the computational resources allocated to each of the modular pricing stages executing on the platform. The computational resources allocated to one or more modular pricing stages are adjusted in accordance with received user input.

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