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US 2022/0036467 A1Published application
Machine learning system and method for quote generation
AssigneeThe Auto Club Group
InventorsShohreh ABEDI, Viral PATEL, Sanjay KUCHIPUDI
Life of this patent
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Abstract
An automated quoting system and method is disclosed that may employ a machine-learning model to interpret and extract information from a digital image. The machine learning model may be operable to verify the customer information received and employ prefill data services to compare and merge information together with the information extracted from the digital image. The automated system may use the extracted and acquired customer data to generate and provide one or more quotes to a customer.
Claims20
A method for generating a quote from a digital image, comprising:
- responsive to receiving a digital image having one or more textual data fields from a remote computer, validating that the one or more textual data fields satisfy one or more predefined data fields;
- responsive to the one or more textual data fields satisfying the one or more predefined data fields, employing a machine learning algorithm to classify the one or more textual data fields, wherein the machine learning algorithm includes a natural language processing algorithm operable to read and decipher the one or more textual data fields;
- responsive to the machine learning algorithm classifying the one or more textual data fields, employing a data pre-fill algorithm to determine if the one or more textual data fields do not include one or more required data fields necessary to generate the quote from the digital image, wherein the data pre-fill algorithm is operable to communicate with an external database to acquire the one or more required data fields that are not identified within the one or more textual data fields;
- employing the machine learning algorithm to compare and merge the one or more textual data fields acquired by the data pre-fill algorithm with the one or more textual data fields provided by the digital image when it is determined a data overlap exists;
- and
- responsive to the machine learning algorithm comparing and merging the one or more textual data fields acquired by the data pre-fill algorithm with the one or more textual data fields provided by the digital image, generating the quote based on the one or more textual data fields.
3 more elements
A system for generating a quote from a digital image, comprising:
- a processor operable to:
- validate that one or more textual data fields received from a digital image satisfy one or more predefined data fields;
- employ a machine learning algorithm to classify the one or more textual data fields responsive to the one or more textual data fields satisfying the one or more predefined data fields, wherein the machine learning algorithm includes a natural language processing algorithm operable to read and decipher the one or more textual data fields;
- employ a data pre-fill algorithm to determine if the one or more textual data fields do not include one or more required data fields necessary to generate the quote from the digital image responsive to the machine learning algorithm classifying the one or more textual data fields, wherein the data pre-fill algorithm is operable to communicate with an external database to acquire the one or more required data fields that are not identified within the one or more textual data fields;
- employ the machine learning algorithm to compare and merge the one or more textual data fields acquired by the data pre-fill algorithm with the one or more textual data fields provided by the digital image when it is determined a data overlap exists;
- and
- generate the quote based on the one or more textual data fields responsive to the machine learning algorithm comparing and merging the one or more textual data fields acquired by the data pre-fill algorithm with the one or more textual data fields provided by the digital image.
4 more elements
A non-transitory computer-readable medium operable to generate a quote, the non-transitory computer-readable medium having computer-readable instructions stored thereon that are operable to execute one or more functions that perform the following:
- validate that one or more textual data fields received from a digital image satisfy one or more predefined data fields;
- employ a machine learning algorithm to classify the one or more textual data fields responsive to the one or more textual data fields satisfying the one or more predefined data fields, wherein the machine learning algorithm includes a natural language processing algorithm operable to read and decipher the one or more textual data fields;
- employ a data pre-fill algorithm to determine if the one or more textual data fields do not include one or more required data fields necessary to generate the quote from the digital image responsive to the machine learning algorithm classifying the one or more textual data fields, wherein the data pre-fill algorithm is operable to communicate with an external database to acquire the one or more required data fields that are not identified within the one or more textual data fields;
- employ the machine learning algorithm to compare and merge the one or more textual data fields acquired by the data pre-fill algorithm with the one or more textual data fields provided by the digital image when it is determined a data overlap exists;
- and
- generate the quote based on the one or more textual data fields responsive to the machine learning algorithm comparing and merging the one or more textual data fields acquired by the data pre-fill algorithm with the one or more textual data fields provided by the digital image.
3 more elements
Dependencies are inferred from the claim text.