System for incenting account holder transaction with merchant donation
Abstract
Methods and systems for generating alerts or recommend incentives for a loyalty program that provides incentives to cardholders in connection with transactions between the cardholders and merchants are disclosed. A merchant is identified. Transaction data reflective of completed transactions are received by way of a network. The transaction data is processed to generate an alert notifying the identified merchant of an event or trend, or to generate a recommended incentive that defines a benefit to be provided by the identified merchant to a cardholder upon the occurrence of an anticipated transaction.
Claims
exact text as granted — not AI-modified1 . A system comprising:
means for receiving transaction data for each of a plurality of completed transactions; for each said completed transaction:
means for processing the received transaction data to identify at least one account holder attribute;
means for identifying a merchant;
means for identifying at least one account holder;
means for identifying an anticipated transaction between the merchant and the at least one account holder;
and means for generating, using a neural network of an artificial intelligence engine, an incentive for the identified at least one account holder based on the at least one account holder attribute, wherein:
the incentive defines a benefit to be provided by the identified merchant to the identified at least one account holder upon the occurrence of the anticipated transaction; and
the benefit is that the merchant of the anticipated transaction has agreed to make a donation to an entity designated by the identified at least one account holder upon the occurrence of the anticipated transaction at:
a predetermined time of day; and
a predetermined geographic location.
2 . The system as defined in claim 1 , wherein the anticipated transaction is identified based on the identified at least one account holder attribute.
3 . The system as defined in claim 2 , wherein the at least one account holder attribute is based on criteria selected from the group consisting of:
a “Bank Identification Number” (BIN) range; demographics of the account holder; the completed transaction and the merchant; and preferences of the identified at least one account holder, wherein the at least one account holder is identified based on the preferences.
4 . The system as defined in claim 2 , wherein:
the at least one account holder attribute is based on a transaction history of the identified at least one account holder; and the transaction history identifies purchases of goods and services, and merchants the goods and services were purchased from.
5 . The system as defined in claim 1 , further comprising means for generating an alert to notify the identified merchant of an identified event or trend.
6 . The system as defined in claim 5 , wherein the identified event is selected from the group consisting of:
a particular time of day; and a particular day of week.
7 . The system as defined in claim 1 , further comprising means, for the identified at least one account holder, for electronically transmits to a logical address corresponding to the identified at least one account holder an alert of the benefit.
8 . A system comprising:
hardware executing software to:
receive transaction data for a plurality of completed transactions; and
for each said completed transaction:
process the received transaction data to identify at least one account holder attribute;
identify:
a merchant;
at least one account holder;
and
an anticipated transaction between the merchant and the at least one account holder;
and
generate, using a neural network of an artificial intelligence engine, an incentive for the identified at least one account holder based on the at least one account holder attribute, wherein:
the defines a benefit to be provided by the identified merchant to the identified at least one account holder upon the occurrence of the anticipated transaction; and
the benefit is that the merchant of the anticipated transaction has agreed to make a donation to an entity designated by the identified at least one account holder upon the occurrence of the anticipated transaction at:
a predetermined time of day; and
a predetermined geographic location.
9 . The system as defined in claim 8 , wherein the hardware executing the software generates an alert to notify the identified merchant of an identified event or trend.
10 . The system as defined in claim 9 , wherein the identified event is selected from the group consisting of:
a particular time of day; and a particular day of week.
11 . The system as defined in claim 8 , wherein the anticipated transaction is identified based on the identified at least one account holder attribute.
12 . The system as defined in claim 11 , wherein the at least one account holder attribute is based on criteria selected from the group consisting of:
a “Bank Identification Number” (BIN) range; the completed transaction and the merchant; demographics of the account holder; and preferences of the identified at least one account holder, wherein the at least one account holder is identified based on the preferences.
13 . The system as defined in claim 11 , wherein:
the at least one account holder attribute is based on a transaction history of the identified at least one account holder; and the transaction history identifies purchases of goods and services, and merchants the goods and services were purchased from.
14 . The system as defined in claim 8 , wherein the hardware executing the software, for the identified at least one account holder, electronically transmits to a logical address corresponding to the identified at least one account holder an alert of the benefit.
15 . A non-transitory computer-readable medium or media storing computer instructions which when executed by at least one computer processor causes the at least one computer processor to:
receive transaction data for each of a plurality of completed transactions; and for each said completed transaction:
process the received transaction data to identify at least one account holder attribute;
identify a merchant;
identify at least one account holder;
identify an anticipated transaction between the merchant and the at least one account holder; and
generate, using a neural network of an artificial intelligence engine, an incentive for the identified at least one account holder based on the at least one account holder attribute, wherein:
the incentive defines a benefit to be provided by the identified merchant to the identified at least one account holder upon the occurrence of the anticipated transaction; and
the benefit is that the merchant of the anticipated transaction has agreed to make a donation to an entity designated by the identified at least one account holder upon the occurrence of the anticipated transaction at:
a predetermined time of day; and
a predetermined geographic location;
16 . The non-transitory computer-readable medium or media storing computer instructions as defined in claim 15 , wherein the instructions are further executable at the at least one computer processor to generate an alert to notify the identified merchant of an identified event or trend.
17 . The non-transitory computer-readable medium or media storing computer instructions as defined in claim 16 , wherein the identified event is selected from the group consisting of:
a particular time of day; and a particular day of week.
18 . The non-transitory computer-readable medium or media storing computer instructions as defined in claim 15 , wherein the anticipated transaction is identified based on the identified at least one account holder attribute.
19 . The non-transitory computer-readable medium or media storing computer instructions as defined in claim 18 , wherein the at least one account holder attribute is based on criteria selected from the group consisting of:
a “Bank Identification Number” (BIN) range; the completed transaction and the merchant; demographics of the account holder; and preferences of the identified at least one account holder, wherein the at least one account holder is identified based on the preferences.
20 . The non-transitory computer-readable medium or media storing computer instructions as defined in claim 15 , wherein:
the at least one account holder attribute is based on a transaction history of the identified at least one account holder; and the transaction history identifies:
purchases of goods and services; and
the merchants from which the goods and services were purchased.Join the waitlist — get patent alerts
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