Transaction type categorization for enhanced servicing of peer-to-peer transactions

A method comprising:

• receiving, by a computer system and from an application of a device, a transaction request for processing a transaction between a first account and a second account;
• obtaining, by the computer system, a plurality of parameters associated with the transaction;
• determining, using a machine learning-based network and based on the plurality of parameters, a relationship between a first user of the first account and a second user of the second account, wherein the machine learning-based network is (i) trained using transaction data associated with historic transactions conducted between the first account and the second account and (ii) configured to derive the relationship between the first user of the first account and the second user of the second account based on the plurality of parameters and a transaction pattern derived from the transaction data, and wherein the relationship is one of a commercial relationship or a non-commercial relationship;
• providing, via the application of the device, a user interface that facilitates a processing of the transaction, wherein the user interface indicates a use of a first service for the processing the transaction;
• modifying, by the computer system, the user interface based on the determined relationship between the first user and the second user, wherein the modifying comprises inserting, on the user interface, a user interface element representing an option for adding a second service for the processing the transaction;
• processing, by the computer system, the transaction based on an input received via the modified user interface, wherein the transaction is processed, based on the input, using at least the first service;
• and
• further training, by the computer system, the machine learning-based network using a parallel processing mechanism based on data associated with the transaction and the input received via the user interface.

A non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising:

• receiving, from an application of a device, a transaction request for processing a transaction;
• determining a plurality of parameters associated with the transaction;
• determining, using a machine learning-based network and based on the plurality of parameters, a relationship between a first user of a first account and a second user of a second account, wherein the machine learning-based network is (i) trained using transaction data associated with historic transactions conducted between the first account and the second account and (ii) configured to derive the relationship between the first user of the first account and the second user of the second account based on the plurality of parameters and a transaction pattern derived from the transaction data, and wherein the relationship is one of a commercial relationship or a non-commercial relationship;
• providing, via the application of the device, a user interface that facilitates a processing of the transaction, wherein the user interface indicates a use of a first service for the processing the transaction;
• modifying the user interface based on the determined relationship between the first user and the second user, wherein the modifying comprises inserting, on the user interface, a selectable element representing an option for adding a second service for the processing the transaction;
• processing the transaction based on a selection received via the modified user interface, wherein the transaction is processed, based on the selection, using at least the first service;
• and
• further training the machine learning-based network using a parallel processing mechanism based on a result of the processing the transaction.