Abstract: The present disclosure provides a computer-implemented method for facilitating a cashless transaction between a merchant and a customer, a system implementing the method, and a non-transitory computer-readable medium storing computer-readable instructions that, when executed, cause a processor to perform steps of the method.

Abstract: A system for processing payment card transactions. A user database stores a plurality of user profiles. Each user profile mappings from a payment card identifier to at least one credit card number. A bill processing component in communication with the database which is configured to: receive, from a credit card issuer system, credit card bill data representing at least a credit card number, a total payable amount and a minimum payable amount; query the user database to match one of the user profiles to the credit card number; and store, in the matched user profile, the credit card bill data.

Abstract: An electronic system and method is provided for determining a credit risk score for an online merchant. The system includes a transaction database including transaction data relating to payment card transactions performed by customers at multiple merchants, a financial performance database including financial data relating to multiple merchants selling merchandise through an e-commerce marketplace, and a risk assessment component. The risk assessment component is configured for: i) receiving, from a requester, an electronic request for a credit risk score for an online merchant, ii) extracting transaction data for the merchant and/or for similar merchants from the transaction database, iii) extracting financial data for the merchant and/or for similar merchants from the financial performance database, iv) combining the extracted transaction data and financial data in a statistical model to determine the credit risk score for the merchant, and v) transmitting the credit risk score to the requester.

Abstract: The present disclosure provides a computer-implemented method for facilitating a cashless transaction between a merchant and a customer, a system implementing the method, and a non-transitory computer-readable medium storing computer-readable instructions that, when executed, cause a processor to perform steps of the method.

Abstract: Payment transaction data for consumers who make purchases in a geographical region is used, together with information about restaurants the consumers have made payments to, to obtain statistical data characterizing the restaurant habits of the consumers. This information may be useful for designing marketing operations, or to individuals contemplating opening a restaurant in the region.

Abstract: A method for predicting a demand for a business, the method comprising the steps of: generating purchase preference in at least one target location based on payment transaction information and merchant information retrieved from one or more databases, wherein the payment transaction information relates to a plurality of historical payment transactions made between a plurality of existing merchants and a plurality of consumers and wherein the merchant information comprises a merchant location of each of the plurality of existing merchants; and predicting the demand in the at least one target location, based on the purchase preference.

Abstract: Methods and systems are proposed for identifying a segment of a population of individuals to target in an advertising campaign. A database of payment transactions made by the population of individuals and a database of demographic and/or location data for the corresponding individuals, are used to develop a predictive model for predicting the likelihood that a candidate individual in the population will make a charitable donation. Once the model is developed, the predictive model is used to identify the segment of the population of individuals for whom, according to the model, the likelihood of making a charitable donation is high, and then individuals in that segment of the population are solicited for donations.

Abstract: Method and system for predicting a period with lowest airline ticket fares.

Abstract: The method comprising: receiving electronic payment transaction data relating to one or more aspects of travel, the aspects of travel comprising: transportation, accommodation and/or dining; receiving segment data relating to the one or more aspects of travel, the segment data comprising information corresponding to a plurality of travel segments; generating, using a recommendation module, recommendation data by associating the electronic payment transaction data with the segment data to determine, at least, a price of each of the plurality of travel segments; receiving, from a user input module, user input data indicative of (i) overall travel budget, (ii) period of travel and (iii) origin location of the user; generating, using the recommendation module, the travel recommendation based on the recommendation data and the user input data; and transmitting the travel recommendation to a user output module to provide the travel recommendation to the user.

Abstract: The method includes generating a token using a token generator, the token being associated with time data and a transaction modifier, and using an advertiser system in communication with the token generator to associate the token with an advertisement displayed at a time of display corresponding with the time data. A transaction is then established using a payment gateway upon receiving a transaction request, relating to the advertised content. The transaction is then executed, through the payment gateway, with initial payment credentials if the token is not supplied while establishing the transaction, and executing a transaction, through the payment gateway, with modified payment credentials if the token is supplied while establishing the transaction. A data tuple is the received and stored, at a data repository, the data tuple comprising a record of the transaction, the advertised content and at least one of the time data and the time of display.

Abstract: Disclosed in a method for determining a fruition score in relation to a poverty alleviation program. The method includes selecting a geographical region on the basis that the poverty alleviation program is implemented in the geographical region for at least part of an analysis period. A processor is then used to determine, from a first data set stored in a memory device, a plurality of first data subsets applicable to the geographical region for a first period of time, the first period of time being at a commencement of the analysis time period. The processor subsequently determines, from a second data set stored in the memory device, a plurality of second data subsets applicable to the geographical region for a second period of time, the second period of time being at an end of the analysis time period.

Abstract: A computer implemented method is proposed for providing prospective travelers with recommendations for merchants (e.g. hotels) to use at their intended destination. A computer collects traveler information relating to one of more individuals who intend to travel, and input specifying the travel destination. The computer identifies previous travelers to the designation who, according to the traveler information, resemble the individual(s), and forms a recommendation of merchants at the destination using transaction data specifying the payment transactions made to merchants in the destination by the previous travelers.

Abstract: A method is proposed for ranking merchants satisfying one or more selected criteria. The merchants are ranked according to an algorithm which calculates a respective score for each merchant as a function of (i) one or more transactional data values characterising previous commercial transactions involving the merchants, (ii) one or more rating values obtained from one of more social media sources and characterising properties of the merchants according to customer feedback, and (iii) pre-determined parameters which control the relative importance of the transactional data values and rating values in determining the scores.

Abstract: A computerized method for operating a loyalty account is proposed in which a customer registers a payment card with a loyalty program of a merchant, and a loyalty account is associated with the payment card. When the customer uses the payment card to make a payment transaction involving the merchant, loyalty points are credited to the loyalty account. Thus, the payment process is a single-step process from the point of view of the customer. The customer presents the payment card to the merchant to make a payment in the conventional manner, and the rest of the process steps to credit loyalty points to the corresponding loyalty account are performed without the involvement of the customer. Conveniently, some of those steps can be performed by computing equipment of the payment network associated with the payment card, which arranges for loyalty points to be credited to a loyalty account associated with the payment card.

Abstract: A computer-implemented method for facilitating natural disaster relief planning, comprising: obtaining current payment-card transaction data after a natural disaster occurs; identifying distinct merchants whom payment-card holders have made payment-card transactions with after the natural disaster occurred based on the current payment-card transaction data; obtaining a location of each of the distinct merchants by referring to a database having stored thereon the location of each of the distinct merchants; and ranking each of the obtained locations based on the current payment-card transaction data, wherein natural disaster relief is provided at the obtained locations based on their ranking.

Abstract: A system for recommending a competitor. A transactions database stores transaction data relating to a plurality of transactions made at a plurality of merchants over a payment network using a plurality of payment cards. A merchant database stores merchant data relating to the plurality of merchants. A competitor identification component in communication with the transactions database. The competitor identification component is configured to: determine a category of the merchant; query the merchant database to identify other merchants having the same category as the merchant; query the transactions database to retrieve transaction data relating to transactions made at the merchant and the other merchants over a predefined time period; based on one or more filtering criteria, determine similarity data indicative of a similarity of each of the other merchants to said merchant. Based on the similarity data, generate a recommendation of at least one competitor merchant from among the other merchants.

Abstract: A system for processing payment card transactions. A user database stores a plurality of user profiles. Each user profile mappings from a payment card identifier to at least one credit card number. A bill processing component in communication with the database which is configured to: receive, from a credit card issuer system, credit card bill data representing at least a credit card number, a total payable amount and a minimum payable amount; query the user database to match one of the user profiles to the credit card number; and store, in the matched user profile, the credit card bill data.

Abstract: A computer-implemented method for recommending a merchant to a consumer is implemented by a merchant evaluation computer system in communication with a memory. The method includes receiving a plurality of transaction data associated with a first merchant of a plurality of merchants, receiving a plurality of review data associated with the merchant, analyzing the plurality of transaction data and the plurality of review data to generate integrated consumption data at the merchant evaluation computer system, determining a relative ranking of the plurality of merchants by comparing integrated consumption data for each merchant of the plurality of merchants, and providing a ranked list of merchants to a consumer based at least in part on the relative ranking.