Mechanisms for efficiently transferring multiple unspent transaction output (UTXO) tokens in a blockchain network operating a UTXO-based token transaction model are disclosed herein. These methods allow for the use of less computer processing and network bandwidth resources in the transfer of blockchain items, particularly in blockchain schemes with lineage tracking mechanisms (e.g. as may allow for clawback of tokens). Some embodiments comprise generating a delegated account and transferring the UTXO tokens into the delegated account. The ownership of the delegated account can then be transferred to another use of the blockchain network in a single transaction, thereby avoiding the need to individually transfer the UTXO tokens and incur the memory and computational resource burden and costs associated with therewith.

One or more computing devices obtains service data of a user payment service. The one or more computing devices determines whether the service data of the user payment service falls within a service indicator range. In response to determining that the service data does not fall within the service indicator range, the one or more computing devices obtains location information of a target customer corresponding to the service data. The one or more computing devices obtains one or more local events corresponding to the location information. The one or more computing devices determines, based on the one or more local events, whether to output an alarm for the service data. In response to determining to output the alarm for the service data, the one or more computing devices outputs the alarm for the service data.

The disclosure relates to a system and method for the supply and/or acquisition of bulk products, the system comprising: a dispensing device; at least one identification and control module; at least one container; a user interface for providing each user access to a user account; and at least one user identification element, wherein the identification and control module comprises at least one identifying element and at least one control element.

A method for routing electronic payment transactions may include receiving transaction-related information from a merchant, extracting transaction routing criteria from the received transaction-related information, identifying one or more eligible payment networks and one or more eligible acquirer processors based on extracted transaction routing criteria, predicting a likelihood of authorization acceptance for each combination of identified acquirer processor and identified network, identifying one or more breakeven transaction amounts for each combination of identified eligible acquirer processor and identified eligible payment network, and routing signature debit transactions from the merchant to a least cost combination of acquirer processor and PIN-less debit network selected from the eligible payment networks based on identification of a desired breakeven transaction amount for the PIN-less debit network.

A machine learning model, such as a Gradient Boosting Machine model, is trained using historical data associated with different types of operations. The machine learning model extracts features from the historical data and learns which features result in a predefined outcome, such as approval by a predefined entity. After the machine learning model is trained and validated as being accurate, it is used to predict the likelihood of a prospective operation achieving the predefined outcome when submitted right away versus a future date. If the likelihood of achieving the predefined outcome is low if submitted right away, the submission of the prospective operation is temporarily suspended. The machine learning model calculates a future time during which to submit the prospective operation for approval, where the future time has a greater likelihood of achieving the predefined outcome. This reduces waste of electronic resources including computer processing power and network communication bandwidth.

A method for routing electronic payment transactions may include receiving transaction-related information from a merchant, extracting transaction routing criteria from the received transaction-related information, identifying one or more eligible payment networks and one or more eligible acquirer processors based on extracted transaction routing criteria, predicting a likelihood of authorization acceptance for each combination of identified acquirer processor and identified network, identifying one or more breakeven transaction amounts for each combination of identified eligible acquirer processor and identified eligible payment network, and routing signature debit transactions from the merchant to a least cost combination of acquirer processor and PIN-less debit network selected from the eligible payment networks based on identification of a desired breakeven transaction amount for the PIN-less debit network.

A system and method includes an authorization request message configured with information about transaction amounts of items aggregated according to item categories and applicable rates for the items in the respective categories. Based on the information provided in the authorization request, a transaction handler is configured to compute a modified transaction amount for the transaction by reducing the transaction amount of items in one or more of the categories, without reducing the transaction amount(s) of items in one or more other categories, and computing a total transaction amount based on the reduction and the applicable rates.

Systems, computer program products, and methods are described herein for expedited data transfer utilizing a secondary data log. The present invention may be configured to analyze a primary data log and determine a user having a high volume of data transactions within a defined timeframe. The present invention may be further configured to maintain a secondary data log for a predetermined time period and, upon conclusion of the predetermined time period, sum the data transactions from the secondary data log and record the sum on the primary data log. The present invention may be further configured to determine a pre-authorized credit for the user to be recorded on the secondary data log during the predetermined time period.

Disclosed are methods, systems, and non-transitory computer-readable medium for generating recommendations regarding products. A method may include determining a set of content features including one or more product attributes; determining a set of latent features; receiving a query user identifier and a query product identifier; determining a feature vector associated with the query user identifier and the query product identifier based on the set of content features and the set of latent features; determining one or more model coefficients for a linear model; and utilizing the linear model to determine a fit score for the query user identifier and the query product identifier.

A method for verifying that event can take place before the event is executed is disclosed. A verification system is incorporated into an event processing network, such that the verification system can identify newly proposed events and determine whether they can be completed. The verification system can inform the network about verification results through distributed blockchain records. Other changes in event status can also be communicated through and stored in blockchain records.