Abstract: A method for on-behalf ATM processing via blockchain includes: receiving, by a receiver of an automated teller machine (ATM), a transaction identifier; receiving, by an input device interfaced with the ATM, a withdrawal amount; identifying, by the ATM, a blockchain transaction in one of a plurality of blocks comprising a blockchain, wherein the blockchain transaction includes at least the transaction identifier and a current balance; and processing, by the ATM, withdrawal of the withdrawal amount based on the current balance, where processing includes dispensing, by a dispenser interfaced with the ATM, currency equivalent to the withdrawal amount if the withdrawal amount is less than or equal to the current balance or displaying, by a display device interfaced with the ATM, a message indicating an insufficient balance if the withdrawal amount is greater than the current balance.

Abstract: A method for authentication of coupons using a blockchain includes: storing transaction data for a payment transaction, wherein the transaction data includes at least a transaction amount; receiving an identification value; receiving a block included in a blockchain, wherein the block includes at least a block header and a plurality of transaction values, each transaction value including at least a coupon identifier and coupon data; executing a query on the received block to identify a specific transaction value of the plurality of transaction values where the included coupon identifier corresponds to the received identification value; and executing a query on the memory to update at least the transaction amount included in the stored transaction data based on the coupon data included in the identified specific transaction value.

Abstract: The disclosure herein relates to AI-based methods and systems of using machine-learning to identify deceptive merchants in payment transactions such as recurring payment transactions. For example, the AI-based systems and methods may train and use an aggregate merchant matcher based on entity matching to identify merchant identifiers and/or acquirers that may be used by a merchant, train and use transaction classifiers to classify transactions as deceptive, recognize merchants based on an N-density aware transaction embedding learned from transaction data, and train and use a merchant classifier to classify merchants as deceptive.

Abstract: A method for optimized validation of a blockchain transaction through the use of a parallel database and date management includes: receiving a new blockchain transaction that includes unspent transaction outputs; identifying, in a parallel database, a start date for a blockchain wallet involved in the new transaction; identifying a subset of blocks in the blockchain that have been added to the blockchain since the start date; validating the new blockchain transaction by validating the unspent transaction outputs using the subset of blocks; and, if the validation is successful, adding the new transaction to the blockchain, or, if the validation is unsuccessful, notifying the submitter of the failed validation.

Abstract: Embodiments provide methods and systems for predicting panic situation in a region and detecting panic states of merchants in the region. Method performed by server system includes accessing payment transaction data associated with merchants from transaction database and identifying panic trigger indicating panic situation in region based on transaction features associated with merchants. In response to identifying panic trigger, method includes generating transaction features based on payment transactions of merchant over time duration and determining association between merchant and merchant cluster based on transaction features associated with merchant. Method includes predicting time-series transaction data associated with merchant based on deep neural network model and merchant cluster associated with merchant, and calculating error between predicted time-series transaction data and real time-series transaction data associated with merchant.

Abstract: Embodiments provide methods and systems for predicting overall account-level risks of cardholders. The method performed by server system includes accessing payment transaction data associated with a cardholder from a transaction database. Method includes generating a set of transaction features based on a set of transaction indicators. The method includes determining a plurality of network risk scores associated with the cardholder based on the set of transaction features and a set of trained machine learning models. The plurality of network risk scores includes a payment capacity risk score, a contactless payment risk score, and a set of account-level risk scores. The method includes aggregating the plurality of network risk scores to calculate an overall account risk score associated with the cardholder based on a statistical model. The method also includes transmitting a notification to the issuer server associated with the cardholder based on the overall account risk score.

Abstract: A method for transaction initiation with a bypass of merchant systems includes: storing a consumer public key and a blockchain comprised of a plurality of blocks, each block being comprised of a block header and data values, each block header including a block timestamp, and each data value including a unique transaction identifier; receiving a data message originating from a merchant system including a specific transaction identifier, a transaction timestamp, and transaction data; identifying a specific data value in a specific block that includes the specific transaction identifier; verifying that the block timestamp in the specific block is within a predetermined period of time of the transaction timestamp; identifying payment credentials associated with a user transaction account corresponding to the specific data value; and initiating a payment transaction between the merchant system and the transaction account using the identified payment credentials and transaction data.

Abstract: A method for improving consensus in a blockchain network through decentralized grouping includes: identifying, by each node of a plurality of nodes in a blockchain network that manages a blockchain, a plurality of groups, where each is comprised of a subset of nodes; generating, by each node in each subset of nodes, a new block for the blockchain; performing, by each subset of nodes, a first consensus operation among all nodes in the subset of nodes for the new block generated by in the subset of nodes to identify a group consensus block, where each node in the subset of nodes receives the group's group consensus block; and performing, by the blockchain network, a second consensus operation among all groups for the identified group consensus block to identify an overall consensus block, where a majority of groups of the plurality of groups receives the overall consensus block.

Abstract: The invention enables optimizing performance of a recommendation server. The invention comprises (i) receiving a first set of customer information corresponding to a first set of events recorded in a first time period in which the recommendation server operates in a first configuration state, (ii) generating a first performance evaluation score based on the first set of customer information, (iii) reconfiguring the recommendation server to operate in a second configuration state having a second performance evaluation score associated therewith, and wherein said second performance evaluation score is generated based on a second set of customer information corresponding to a second set of events recorded in a second time period in which the recommendation server operates in the second configuration state and (iv) transmitting to a terminal device, one or more electronic offers selected for transmission to the customer by the recommendation server operating in the second configuration state.

Abstract: A method for secure approval of a check includes: reading a machine-readable code to obtain a block identifier and a validation value, wherein the machine-readable code is displayed on a physical check and encoded with the block identifier and validation value; receiving a digital signature from an external device; identifying a blockchain data value stored in a blockchain, wherein the blockchain data value includes at least the block identifier and an additional value; validating the received digital signature using a public key; validating the validation value based on a comparison of the validation value to the additional value; and approving use of the physical check to fund a payment transaction upon successful validation of the received digital signature and validation value.

Abstract: Embodiments provide methods and systems for recommending one or more authorizing components to issuers and/or merchants for enhancing approval rates of payment processing requests. Method performed by server system includes receiving a payment authorization request for a payment transaction between a cardholder and a merchant in real time. The method includes identifying payment transaction features associated with the payment transaction based, at least in part, on the payment authorization request. The method further includes predicting a combination of one or more authorizing components to be applied to the payment transaction to obtain a product recommendation strategy for the payment transaction. The combination of one or more authorizing components is predicted based, at least in part, on a trained machine learning model and the payment transaction features.

Abstract: A method for processing a multi-account check includes: receiving a first authorization request including a transaction amount, an account identifier, and a check number; identifying a blockchain associated with the account identifier including a plurality of blocks, each block including a block header and blockchain data values, and a blockchain data value included in one of the blocks including the check number; generating two or more additional authorization requests including a payment amount, an alternate account number, and an alternate check number, where the alternate account number included in each of the additional authorization requests is unique among the additional authorization requests and a total of the payment amount included in the additional authorization requests is based on the transaction amount; and transmitting each of the additional authorization requests to a financial institution associated with the alternate account number included in the respective additional authorization request

Abstract: A method for preventing account referral fraud includes: receiving a referral request, the request including a referring account identifier; transmitting a digital signature corresponding to the referral request to a processing server; verifying, by the processing server, the digital signature using a public key; identifying a plurality of blockchain data values included in a blockchain using the public key, wherein each data value is related to a blockchain transaction involving a blockchain wallet associated with the public key; generating an authenticity score for the blockchain wallet based on data included in the plurality of blockchain data values; receiving, by the referral server, the authenticity score from the processing server; and processing the referral request based on the authenticity score, wherein processing the referral request includes one of: declining the referral and awarding a referral reward.

Abstract: A method for improving consensus in a blockchain network through decentralized grouping includes: identifying, by each node of a plurality of nodes in a blockchain network that manages a blockchain, a plurality of groups, where each is comprised of a subset of nodes; generating, by each node in each subset of nodes, a new block for the blockchain; performing, by each subset of nodes, a first consensus operation among all nodes in the subset of nodes for the new block generated by in the subset of nodes to identify a group consensus block, where each node in the subset of nodes receives the group's group consensus block; and performing, by the blockchain network, a second consensus operation among all groups for the identified group consensus block to identify an overall consensus block, where a majority of groups of the plurality of groups receives the overall consensus block.

Abstract: A method for validating access to data files using a combination of secure data values includes: storing at least a first check value and a seed value in an account profile; receiving a data request message including at least a first data value, a second data value, a timestamp, and a data file request from a computing device; identifying a second check value using a predetermined algorithm applied to at least the seed value and the timestamp; validating the first data value using the first check value and the second data value using the second check value; and transmitting one or more data files indicated in the data file request to the computing device upon successful validation of the first data value and the second data value.

Abstract: A method for processing a multi-account check includes: receiving a first authorization request including a transaction amount, an account identifier, and a check number; identifying a blockchain associated with the account identifier including a plurality of blocks, each block including a block header and blockchain data values, and a blockchain data value included in one of the blocks including the check number; generating two or more additional authorization requests including a payment amount, an alternate account number, and an alternate check number, where the alternate account number included in each of the additional authorization requests is unique among the additional authorization requests and a total of the payment amount included in the additional authorization requests is based on the transaction amount; and transmitting each of the additional authorization requests to a financial institution associated with the alternate account number included in the respective additional authorization request

Abstract: A method for detecting fraudulent transactions includes generation of a graph including a plurality of nodes and a plurality edges between the plurality of nodes based on historical transaction data of a plurality of historical transactions. The plurality of nodes include a set of merchant nodes and a set of consumer nodes. A set of static features and a plurality of dynamic features are determined based on the historical transaction data and the generated graph, respectively. A neural network is trained based on the set of static features and the plurality of dynamic features for detection of transaction fraud. The neural network is used to detect a first transaction as one of a fraudulent transaction or a legitimate transaction based on first transaction data of the first transaction.

Abstract: A method for facilitating foreign transactions through inter-currency exchanges and geographical matching includes providing a platform to consumers located in different countries, where a consumer in a first country that desires a product from a second country is matched to a consumer in the second country that desires a product in the first country; the consumers are matched and transactions initiated by the platform to provide transfer of any necessary payment to ensure that each consumer can make the purchase on behalf of the other consumer in their own country, for shipping to the consumer in the other country, negating the need for the consumers to make any international purchases directly while still availing themselves of foreign products without involving merchants and minimizing the effect and amount of cross-border transactions.

Abstract: A method for validating a message recipient includes: storing, in a memory of a processing server, a device profile, wherein the device profile is related to a mobile computing device and includes at least a device identifier, and token validation data; receiving, by a receiver of the processing server, a data signal from an external system that is encoded with a message packet, wherein the message packet includes at least the device identifier, a device token, and a content message; validating, by a processing device of the processing server, the device token using at least the token validation data; and electronically transmitting, by a transmitter of the processing server, the content message to the mobile computing device.

Abstract: A method for immutability of review verifications includes: storing a blockchain; receiving a review submission from a reviewer about an entity comprising feedback; identifying a review identifier unique to the review submission; generating a new review block for the blockchain including the review submission including the review identifier; receiving verification submissions from other reviewers about the review submission indicating positive or negative verification of the review submission; generating verification blocks for the blockchain that include the verification submissions; adding a trustworthiness block to the blockchain for the review once enough positive verifications are received; and adding a trustworthiness block to the blockchain for the reviewer once they have enough trustworthy reviews.