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US Patent 10360601 Method for generating a repair estimate through predictive analytics

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10360601
Date of Patent
July 23, 2019
Patent Application Number
14967068
Date Filed
December 11, 2015
Patent Citations Received
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US Patent 12136068 Paint refinish determination
0
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US Patent 11488117 Systems and methods for managing associations between damaged parts and non-reusable parts in a collision repair estimate
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US Patent 12106213 Systems and methods for automatically determining adjacent panel dependencies during damage appraisal
0
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US Patent 12135756 Content recommendation system with weighted metadata annotations
0
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US Patent 11488380 Method and apparatus for 3-D auto tagging
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US Patent 11544256 Systems and methods for automating mapping of repair procedures to repair information
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US Patent 10783589 Detection of abnormal estimates
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US Patent 10884615 Inspection assistance device, inspection assistance method, and program
...
Patent Primary Examiner
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Michael Misiaszek
Patent abstract

Method for producing a list of parts and labor records to determine the total cost to repair and/or replace damaged parts of a vehicle involved in a collision that can evaluate millions of estimates previously written for vehicles similar to the one being assessed to produce a reliable repair estimate based on evaluation of all previous estimate data of vehicles that have incurred damage on the same points-of-impact, with similar extent-of-damage, presented as a number between 0 and 10, 10 representing the maximum amount of damage. A user inputs or selects a series of values and the method also receives input from various other sources to query a database containing millions of previously written estimates for vehicles, or structured repair data specifically produced for this propose. A cost estimate for repairing the damage and presents it as the output of the method based on the input and predictive models applied.

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