Abstract: A system and method for identifying items purchased at a merchant is provided. The method includes receiving transaction data associated with a transaction of the consumer, the transaction data including a transaction amount and a merchant identifier associated with the merchant. Price information and tax information associated with the merchant are retrieved. A most likely item combination is selected based on a pre-tax total for the transaction and the price information.

Abstract: A system and method for identifying items purchased at a merchant is provided. The method includes receiving transaction data associated with a transaction of the consumer, the transaction data including a transaction amount and a merchant identifier associated with the merchant. Price information and tax information associated with the merchant are retrieved. A most likely item combination is selected based on a pre-tax total for the transaction and the price information.

Abstract: A system and method of tracking food consumption data for a payment cardholder is provided. The food consumption data is associated with restaurant food purchases made with a payment card, where each restaurant food purchase includes a transaction amount. The method includes comparing the transaction amount to a set of possible food order combinations totaling the transaction amount. A food order combination is selected that has a total price that matches the transaction amount. Nutritional information associated with each food item in the selected food order combination is retrieved and stored into a database.

Abstract: A computer-implemented method for determining if a current wallet-based transaction initiated by a digital wallet user is fraudulent is provided. The method includes receiving current wallet-based transaction data relating to the current wallet-based transaction, and identifying one or more profile characteristics relating to a digital wallet owner based on the current wallet-based transaction data. The method further includes retrieving historical payment card transaction data based on the identified one or more profile characteristics. The method also includes comparing the current wallet-based transaction data and the historical payment transaction data to determine if the current wallet-based transaction is fraudulent.

Abstract: A system and method of tracking food consumption data for a payment cardholder is provided. The food consumption data is associated with restaurant food purchases made with a payment card, where each restaurant food purchase includes a transaction amount. The method includes comparing the transaction amount to a set of possible food order combinations totaling the transaction amount. A food order combination is selected that has a total price that matches the transaction amount. Nutritional information associated with each food item in the selected food order combination is retrieved and stored into a database.

Abstract: A computer-implemented method for predicting purchasing behaviour of digital wallet users for wallet-based transactions made by the digital wallet users is provided. The method includes identifying payment card users having a profile characteristic that matches the profile characteristic of the digital wallet users. The method also includes retrieving historical transaction data by querying a transaction database, wherein the historical transaction data relates to a plurality of historical transactions settled for the identified payment card users. The method further includes identifying, from the retrieved historical transaction data, transaction information of the identified payment card users to derive purchasing behaviour of the identified payment card users. The method also includes predicting the purchasing behaviour of the digital wallet users for wallet-based transactions made by the digital wallet users, based on the derived purchasing behaviour of the identified payment card users.

Abstract: A method for determining a preference of a customer is provided. The method includes accepting registration of payments cards, creating a unique identifier, associating the unique identifier with the registered payment cards, and storing the associations in a reference table. The method further includes identifying transactions involving each of the registered payments cards, storing the transactions in a transaction table, and determining from the transactions in the transaction table and active payment card campaigns in a campaign table, the participation level in the active payment card campaigns for each of the registered payment cards. The method also includes determining that the registered payment cards share a common unique identifier, aggregating the participation level in the active payment card campaigns for each of the registered payment cards which share the common unique identifier, and determining the preference of the customer from the aggregated participation level.

Abstract: A system comprises a processor; a transactions database comprising transaction records from transactions carried out over a payment network; and a similarity matrix component in communication with the transactions database. The similarity matrix component is configured to cause the processor to: retrieve, from the transactions database, transaction records for payment cards; identify, from the retrieved transaction records, a plurality of merchant identifiers; generate, for each merchant identifier, a merchant vector representing a total number or total value of transactions for the merchant identifier for each of the payment cards; generate, for each geographical location, a geographical location vector representing a total number or total value of transactions for the geographical location for each of the payment cards; compute similarity scores between the merchant vectors and the geographical location vectors; and generate a similarity matrix from the similarity scores.