Abstract: A system, method and/or computer program product for enrolling in and/or issuing a transaction account with enhanced capabilities and improved functionality is disclosed herein. This new type of transaction account, a reserve transaction account, is disclosed herein. Similar to credit and/or charge transaction accounts, the reserve transaction account avails its users the ability to purchase now and pay for the purchase at a later date. This is in contrast to a debit transaction account where payment for the purchase is effective almost immediately. Similar to credit and/or charge transaction accounts, the reserve transaction account is associated with a line of credit. Similar to credit and/or charge transaction accounts for authorization and settlement, the reserve transaction account follows a dual messaging protocol for authorization of transactions.

Abstract: A system, method and/or computer program product for enrolling in and/or issuing a transaction account with enhanced capabilities and improved functionality is disclosed herein. This new type of transaction account, a reserve transaction account, is disclosed herein. Similar to credit and/or charge transaction accounts, the reserve transaction account avails its users the ability to purchase now and pay for the purchase at a later date. This is in contrast to a debit transaction account where payment for the purchase is effective almost immediately. Similar to credit and/or charge transaction accounts, the reserve transaction account is associated with a line of credit. Similar to credit and/or charge transaction accounts for authorization and settlement, the reserve transaction account follows a dual messaging protocol for authorization of transactions.

Abstract: In various embodiments, the systems, methods and computer program products (collectively “systems”) are configured to administer and facilitate a public transaction program. The systems may issue public transaction accounts, identify public transactions and communicate those transactions or indicators of those transactions to a digital channel. The systems may be configured to allow users to define preferences that cause the systems to select particular transactions as public transactions. As such, the systems provide users and merchants with the ability to promote merchants and/or items through digital channels with transaction data.

Abstract: The present disclosure includes a system, method, and article of manufacture for settling payment. In various embodiments, the method may comprise creating a group comprising a plurality of transaction accounts associated with a shared financial obligation, and settling a plurality of records of charge (ROCs) corresponding to the shared financial obligation between each of the plurality of transaction accounts in the group. The method may further comprise transmitting one of a plurality of ROCs to a member associated with one of a plurality of transaction accounts in a group, and/or receiving an indication that one of the plurality of ROCs is subject to the shared financial obligation. Further, in various embodiments, the method may comprise creating a group in response to authentication of a plurality of members to a single web client, and/or creating the group in response to a group initiation event by a group initiator.

Abstract: A method for facilitating biometric security in a smartcard-reader transaction system is provided. The method includes determining if a transaction violates an established rule, such as a preset spending limit. The method also includes notifying a user to proffer a biometric sample in order to verify the identity of said user, and detecting a proffered biometric at a sensor to obtain a proffered biometric sample. The method additionally comprises verifying the proffered biometric sample and authorizing a transaction to continue upon verification of the proffered biometric sample.

Abstract: The systems, methods, and computer program products (collectively “systems”) described herein are generally configured to monitor actions in digital channels. More specifically, the systems are capable of creating reservations for items and initiating payments for the items based on actions or information received from the digital channel. The systems are capable of syncing transaction accounts with various digital channels. Moreover, the systems are capable of initiating or completing transaction based on user information. The systems may also be capable of providing rewards based on activities or accomplishments in the digital channels. Moreover, the systems may be capable of verifying ring activities based on transaction information.

Abstract: The systems, methods, and computer program products (collectively “systems”) described herein are generally configured to monitor actions in digital channels. More specifically, the systems are capable of initiating purchases in a broadcast channel. The systems are capable of syncing transaction accounts with various digital channels. Moreover, the systems are capable of initiating or completing transaction based on user information. The systems may also be capable of providing rewards based on activities or accomplishments in the digital channels. Moreover, the systems may be capable of verifying activities based on transaction information.

Abstract: The systems, methods, and computer program products (collectively “systems”) described herein are generally configured to monitor actions in digital channels. More specifically, the systems described herein are capable of initiating a transaction with a transaction account based on an action in any suitable digital channel. The systems are capable of syncing transaction accounts with various digital channels. Moreover, the systems are capable of initiating or completing transaction based on user information. The systems may also be capable of providing rewards based on activities or accomplishments in the digital channels. Moreover, the systems may be capable of verifying activities based on transaction information.

Abstract: A method includes receiving a message comprising a user identification code via a social media messaging channel. In addition, the method includes receiving geo-location information of the device transmitting the message. The method also includes verifying the user identification code by confirming that the geo-location information complies with stored expected geo-location information. The method also includes accessing data associated with a transaction account linked to the user identification code based on the content of the message. The method further includes transmitting a reply to the received message on the social media messaging channel.

Abstract: The systems, methods, and computer program products (collectively “systems”) described herein are generally configured to monitor actions in digital channels. More specifically, the systems are capable of initiating purchases in a broadcast channel. The systems are capable of syncing transaction accounts with various digital channels. Moreover, the systems are capable of initiating or completing transaction based on user information. The systems may also be capable of providing rewards based on activities or accomplishments in the digital channels. Moreover, the systems may be capable of verifying activities based on transaction information.

Abstract: The systems and methods described herein may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input at least one of: a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, a share of wallet, and/or the like. The method may further comprise generating a ranked list of items based upon a plurality of consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Abstract: The method of processing an analysis cycle to determine interest merchants may include selecting a seed merchant relevant to a topic interest, identifying consumers that have completed a transaction with the seed merchant to generate a list of identified consumers, determining merchants visited by the identified consumers, scoring all the merchants based on network connectivity, activity, and merchant over-index, updating the seed merchant in response to the list of scored merchants relative to a scoring threshold, and scoring the list of identified consumers based on the number of distinct merchants in transaction and over-indexing. Additionally, the method may further comprise producing a list of updated interest merchants and a list of updated identified consumers, where the updated interest merchants and the updated identified consumers are relevant to the topic interest.

Abstract: The systems and methods described herein may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input at least one of: a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, a share of wallet, and/or the like. The method may further comprise generating a ranked list of items based upon a plurality of consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Abstract: The systems and methods described herein may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input at least one of: a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, a share of wallet, and/or the like. The method may further comprise generating a ranked list of items based upon a plurality of consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Abstract: The systems and methods described herein may be used to recommend an item to a consumer. The methods may comprise determining, based on a collaborative filtering algorithm, a consumer relevance value associated with an item, and transmitting, based on the consumer relevance value, information associated with the item to a consumer. A collaborative filtering algorithm may receive as an input at least one of: a transaction history associated with the consumer, a demographic of the consumer, a consumer profile, a type of transaction account, a transaction account associated with the consumer, a period of time that the consumer has held a transaction account, a size of wallet, a share of wallet, and/or the like. The method may further comprise generating a ranked list of items based upon a plurality of consumer relevance values, transmitting a ranked list of items to a consumer, and/or re-ranking a ranked list of items based upon a merchant goal.

Abstract: The method of processing an analysis cycle to determine interest merchants may include selecting a seed merchant relevant to a topic interest, identifying consumers that have completed a transaction with the seed merchant to generate a list of identified consumers, determining merchants visited by the identified consumers, scoring all the merchants based on network connectivity, activity, and merchant over-index, updating the seed merchant in response to the list of scored merchants relative to a scoring threshold, and scoring the list of identified consumers based on the number of distinct merchants in transaction and over-indexing. Additionally, the method may further comprise producing a list of updated interest merchants and a list of updated identified consumers, where the updated interest merchants and the updated identified consumers are relevant to the topic interest.

Abstract: Share of Wallet (“SOW”) is a modeling approach that utilizes various data sources to provide outputs that describe a consumers spending capability, tradeline history including balance transfers, and balance information. These outputs can be appended to data profiles of customers and prospects and can be utilized to support decisions involving prospecting, new applicant evaluation, and customer management across the lifecycle. A SOW score focusing on a consumer's spending capability can he used in the same manner as a credit bureau score.

Abstract: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Research analysts can use CSoW/CSoSW to provide a comprehensive and robust indication of the business prospects of a rated company.

Abstract: The invention presented comprises a system and method for executing a cash payment via a computer network. A payor computing device communicates over a computer network with payee computing devices via a P2P server. The P2P server is operative to receive a payment request from the payor computing device and process the payment by debiting a financial instrument specified by a payor utilizing the payor computing device. The payment request is transmitted from the P2P server to a cash payment server operative to receive the payment request and translate the request into the native format of an ATM control server, the native format of the P2P server and ATM control server not being interoperable. The ATM control server is operative to generate a PIN code, which is transmitted along with the received payment instructions to an ATM.

Abstract: Consumer spend by industry is modeled based on the industry sizes of wallet of consumers having a high share of wallet with a financial institution. A size of wallet is calculated for each consumer in a plurality of consumers. A share of wallet for each consumer is also calculated. A subset of the plurality of consumers whose share of wallet is above a given percentage of their size of wallet is then determined. For each consumer in the subset, an industry size of wallet is determined. A correlation between the industry size of wallet of a given consumer and one or more characteristics of the given consumer is then derived using the industry size of wallet for the consumers in the subset.