US 10,650,358 B1Granted

Document tracking and correlation

AssigneeCapital One Services, LLC

InventorsJoshua Edwards, Gaurang Bhatt

Life of this patent

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Abstract

A device receives receipt data of a receipt of a transaction for a product, and processes, using a term matching technique, the receipt data to identify transaction information including a transaction date and product information. The device determines that the transaction caused a user to be covered by or eligible for a warranty for the product, generates a tag identifying the product, and associates, using a data structure, the product information, data identifying the warranty, and the tag with a record of the transaction that is accessible via a program that allows the user to search for the receipt or terms of the warranty. The device performs actions associated with assisting the user in managing the warranty, such as by reminding the user of an expiration date of the warranty and/or by assisting the user in submitting a claim based on the warranty.

Claims20

Dependent claims

A method, comprising:

receiving, by a device, receipt data of a receipt of a transaction for one or more products;
processing, by the device and by using a term matching technique, the receipt data of the receipt to identify transaction information for the transaction,
wherein the transaction information includes:
a transaction date, and
product information for the one or more products;
determining, by the device, that there is a threshold likelihood that the transaction caused a user to be covered by or eligible for a warranty for a product of the one or more products;
determining, by the device, the warranty for the product based on determining that there is the threshold likelihood;
identifying, by the device and by a semantic engine parser, one or more terms of the warranty for the product to analyze a website of a merchant associated with the transaction that describes the one or more terms of the warranty;
generating, by the device, a set of tags identifying the one or more products,
where generating the set of tags comprises:
predicting, using a data model that has been trained on historical warranty data and that uses one or more machine learning techniques, a set of search terms that the user is likely to use when searching for the one or more terms of the warranty,
the historical warranty data including data identifying a frequency of degree to which users search for particular warranty terms, and
using the set of search terms to generate the set of tags;
associating, by the device, the transaction information, the one or more terms of the warranty, and the set of tags with a record of the transaction,
wherein the record of the transaction is searchable;
and
performing, by the device, one or more actions associated with assisting the user in managing the warranty,
wherein the one or more actions include:
automatically renewing the warranty based on the transaction date.

16 more elements

A device, comprising:

one or more memories;
and
one or more processors, operatively coupled to the one or more memories, to:
receive receipt data of a receipt of a transaction for one or more products;
process, using a term matching technique, the receipt data to identify transaction information for the transaction,
wherein the transaction information includes:
a transaction date, and
product information for the one or more products;
determine that there is a threshold likelihood that the transaction caused a user to be covered by or eligible for a warranty for a product of the one or more products;
identify one or more terms of the warranty by a semantic engine parser analyzing a website of a merchant associated with the transaction that describes the one or more terms of the warranty;
generate a set of tags identifying the one or more products,
where the one or more processors when generating the set of tags, are to:
predict, using a data model that has been trained on historical warranty data and that uses one or more machine learning techniques, a set of search terms that the user is likely to use when searching for the one or more terms of the warranty,
the historical warranty data including data identifying a frequency of degree to which users search for particular warranty terms, and
use the set of search terms to generate the set of tags;
associate, using a data structure, the transaction information, data identifying the warranty, and the set of tags with a record of the transaction,
wherein the record of the transaction is searchable;
and
perform one or more actions associated with assisting the user in managing the warranty,
wherein the one or more actions include:
automatically renewing the warranty based on the transaction date.

18 more elements

A non-transitory computer-readable medium storing one or more instructions, the one or more instructions comprising:

one or more instructions that, when executed by one or more processors, cause the one or more processors to:
receive receipt data of a receipt of a transaction for a product;
process, using one or more term matching techniques, the receipt data to identify transaction information for the transaction,
wherein the transaction information includes at least one of:
a merchant identifier of a merchant associated with the transaction,
a date of the transaction, or
product information for the product;
determine that there is a threshold likelihood that the transaction caused a user involved in the transaction to be covered by or eligible for a warranty for the product;
determine that the transaction caused the user involved in the transaction to be covered by or eligible for the warranty for the product based on determining that there is the threshold likelihood;
identify terms of the warranty for the product by a semantic engine parser analyzing a website of the merchant that describes one or more terms of the warranty;
generate, after identifying the product information, a set of tags identifying the product,
wherein the one or more instructions, that cause the one or more processors to generate the set of tags, cause the one or more processors to:
predict, using a data model that has been trained on historical warranty data and that uses one or more machine learning techniques, a set of search terms that the user is likely to use when searching for the one or more terms of the warranty,
the historical warranty data including data identifying a frequency of degree to which users search for particular warranty terms, and
use the set of search terms to generate the set of tags identifying the product;
associate the transaction information, the terms of the warranty, the set of tags, and an electronic copy of the receipt of the transaction with a record of the transaction,
wherein the record of the transaction is searchable;
and
perform one or more actions associated with assisting the user in managing the warranty,
wherein the one or more actions include automatically renewing the warranty based on the date of the transaction.

17 more elements

Dependencies are inferred from the claim text.