The present disclosure relates generally to data memory resource management, and more particularly, although not exclusively, to reducing memory resources used in automatically determining the status of electronic transactions.
Electronic transaction processing can involve significant amounts of information, which may be produced and transmitted or received, in separate parts, and at various times. The information may be stored in a central location or in multiple locations. It may be required to analyze various details of the information in order to determine or confirm the status or another characteristic of electronic transactions to which the information relates. However, the number of electronic transactions and the overall volume of information to be analyzed may be substantial, and the separate parts of information may not be stored or otherwise arranged in any particular order. Consequently, analyzing the information can require a significant amount of computerized memory resources and processor power, particularly when a large number of electronic transactions are involved.
As one example, real time payment (RTP) transactions are electronic payments that are initiated and completed substantially instantaneously. RTP transactions also involve end-to-end communication, whereby electronic messages are typically exchanged between a sending entity and a receiving entity relative to each RTP transaction. A significant number of electronic messages of various types may be stored relative to a single RTP transaction, and a given information store may contain electronic messages relating to thousands of RTP transactions.
Repeatedly sorting through and analyzing potentially thousands of electronic messages to determine the status of a given electronic transaction is inefficient, and the significant memory and processing resources required to perform such sorting and analyzing operations can be expensive. Moreover, additional memory and processor resources may be required to avoid processing delays as the number of electronic transactions and associated electronic messages grows.
According to one example of the present disclosure, a system may include a database, a processor communicatively coupled to the database, and memory that is communicatively coupled to the processor and includes instructions that are executable by the processor to cause the processor to perform operations. The operations may include receiving from the database, a plurality of electronic messages about a common category of electronic transactions, where each electronic message has a plurality of data fields, and at least one data field of the plurality of data fields includes an identifier to indicate a message type, and analyzing the plurality of data fields of the plurality of electronic messages. The operations may also include, in response to analyzing the plurality of data fields, identifying at least two electronic messages among the plurality of electronic messages that share a common marker as being related to each other and to a particular electronic transaction, extracting the at least two electronic messages as a message group, and determining a message type of each of the at least two electronic messages in the message group. The operations may additionally include determining, using the message type, a missing electronic message that is absent from the message group, wherein the missing electronic message is configured to indicate an incomplete electronic transaction. The operations may further include, in response to determining the missing electronic message, automatically generating a notification to identify the incomplete electronic transaction related to the missing electronic message, and transmitting the notification to a sender or receiver of the at least two electronic messages in the message group, to notify the sender or receiver of the incomplete electronic transaction.
According to another example of the present disclosure, a non-transitory computer readable medium may contain instructions that are executable by a processor to cause the processor to perform operations. The operations may include receiving from the database, a plurality of electronic messages about a common category of electronic transactions, where each electronic message has a plurality of data fields, and at least one data field of the plurality of data fields includes an identifier to indicate a message type, and analyzing the plurality of data fields of the plurality of electronic messages. The operations may also include, in response to analyzing the plurality of data fields, identifying at least two electronic messages among the plurality of electronic messages that share a common marker as being related to each other and to a particular electronic transaction, extracting the at least two electronic messages as a message group, and determining a message type of each of the at least two electronic messages in the message group. The operations may additionally include determining, using the message type, a missing electronic message that is absent from the message group, wherein the missing electronic message is configured to indicate an incomplete electronic transaction. The operations may further include, in response to determining the missing electronic message, automatically generating a notification to identify the incomplete electronic transaction related to the missing electronic message, and transmitting the notification to a sender or receiver of the at least two electronic messages in the message group, to notify the sender or receiver of the incomplete electronic transaction.
According to a further example of the present disclosure, a computer-implemented method may include receiving at a processor, from a database, a plurality of electronic messages about a common category of electronic transactions, where each electronic message has a plurality of data fields, and at least one data field of the plurality of data fields includes an identifier to indicate a message type, and analyzing, by the processor, the plurality of data fields of the plurality of electronic messages. The method may also include, in response to analyzing the plurality of data fields, identifying by the processor, at least two electronic messages among the plurality of electronic messages that share a common marker as being related to each other and to a particular electronic transaction, and extracting, by the processor, the at least two electronic messages as a message group. The method may additionally include determining, by the processor, a message type of each of the at least two electronic messages in the message group, and determining, by the processor, using the message type, a missing electronic message that is absent from the message group, wherein the missing electronic message is configured to indicate an incomplete electronic transaction. The method may further include, in response to determining the missing electronic message, automatically generating, by the processor, a notification to identify the incomplete electronic transaction related to the missing electronic message, and transmitting, by the processor, the notification to a sender or receiver of the at least two electronic messages in the message group, to notify the sender or receiver of the incomplete electronic transaction.
Certain aspects and examples of the present disclosure generally relate to a system for determining the status of electronic transactions using reduced memory resources. The system may receive, such as in a file from a database, a plurality of electronic messages about a common category of electronic transactions. By identifying common markers within the electronic messages, the system may extract as a message group, electronic messages that relate to each other and to a given electronic transaction. Multiple message groups relating to numerous electronic transactions may be extracted from a single file of electronic messages. By extracting related electronic messages as a message group, memory resources can be reduced because only the electronic messages in the message group need to be analyzed in order to determine the status or other characteristics of a related electronic transaction.
Determining the status of an electronic transaction by analyzing a group of related messages using reduced memory and processor resources can also result in needed corrective actions occurring more quickly. For example, a missing electronic message from a message group can indicate that an associated electronic transaction is incomplete. In such case, a system according to examples of the present disclosure can automatically generate a notification identifying the incomplete electronic transaction, and can likewise automatically transmit the notice to a sender or receiver of the missing electronic message to notify the sender or receiver of the incomplete transaction. Because the system need only analyze the electronic messages in a given message group to determine that an associated electronic transaction is incomplete, and can do so more efficiently using reduced memory and processing resources, incomplete electronic transactions can be discovered and acted upon more quickly.
The following illustrative examples are provided to introduce the reader to the general subject matter discussed herein, and are not intended to limit the scope of the disclosed concepts. In the following description, specific details are set forth in order to provide a thorough understanding of various implementations and examples. Various implementations may be practiced without these specific details. The figures and description are not intended to be restrictive.
In the system 100 example of in
As represented in
The site 300 may be in communication with various other entities. Other entities are depicted as a first entity 302, a second entity 304, a third entity 306, and a nth entity 308, to represent that there is no finite limit on the number of other entities with which the site 300 may be in communication. The communications between the site 300 and the entities 302-308 are shown to be end-to-end communications, as electronic messages regarding RTP transactions may be both inbound and outbound relative to the site 300. For example, if the first entity 302 sends an electronic message initiating a RTP transaction with the site 300, the site may send an acknowledgement message to the first entity in response, and there may be a series of additional messages that are sent back-and-forth between the site 300 and the first entity 302 prior to the RTP transaction being completed.
In the provided example, the electronic messages associated with each RTP transaction processed by the site 300—whether as the initiating participant (sender) or the receiving participant (receiver)—are stored in the database 200. According to an aspect of the disclosure, the electronic messages are not saved in any particular order, hierarchy, etc. Consequently, manually analyzing and associating electronic messages stored in the database 200 would essentially amount to hand sorting through an unintelligent data dump of what could be thousands of electronic messages, and processing every message by a system each time the status of a given electronic transaction needs to be determined would consume significant memory and processor resources.
In operation, the system 100 of
After receiving the electronic messages, the system 100 may proceed to analyze the data fields of the electronic messages, and based on the analysis, identify electronic messages that share a common marker as being related to each other and to a given RTP transaction. The common marker may be, for example, a like reference number that appears somewhere (i.e., in at least one data field) in each of the related electronic messages. In the case of RTP transaction-related electronic messages, the reference identification number may be, for example, associated with an identifier in the original (i.e., pacs.008) RTP transaction initiating message (request).
The system 100 may then extract at least two related electronic messages as a message group. When electronic messages relating to multiple RTP transactions are present in the totality of the electronic messages received by the system 100 from the database, which will typically be the case, the system may extract a number of message groups. Once a message group has been extracted, the system 100 may determine the message type of each electronic message in the message group by reading the at least one data field in each electronic message that includes the message type identifier.
With the message type of each electronic message in the message group known, the system 100 may next determine whether any electronic messages are missing from the message group. The system 100 may be configured such that a missing electronic message indicates an incomplete RTP transaction, which may require attention.
Determining that an electronic message is missing from a message group can be accomplished by the system in several ways. According to one aspect of the present disclosure, a missing electronic message determination may be based on the ascertained overall collection of message types present in the message group. In other words, the system 100 may be configured to recognize that the presence of a particular message type in the message group should result in the presence of another particular message type in the message group. For example, a payment confirmation message from a receiver should be present in the message group if a RTP request message from a sender is present in the message group. If the payment confirmation message from the receiver is absent, the system 100 may consider the payment confirmation message to be missing from the message group and the RTP transaction to be incomplete.
According to another aspect of the present disclosure, each electronic message received by the system 100 also includes a data field that indicates a date of message transmission, and the system 100 may use the dates of message transmission to determine, or help to determine, whether an electronic message is missing from the message group. More specifically, the system 100 may compare the dates of transmission for all of the electronic messages in the message group, and identify the most recently transmitted (latest) electronic message in the message group. The system 100 may then determine whether the latest electronic message in the message group is of a type that indicates completion of the associated RTP transaction, or if a more recent electronic message should also be present in the message group. If the latest message in the message group is not of a type that indicates completion of the associated RTP transaction, the system 100 may consider the RTP transaction to be incomplete.
With respect to determining if an electronic message is missing from a message group, the system 100 may be provided with message type information, such as but not limited to, a relational lookup table or some other data set that identifies relationships between different electronic message types. For example, the system 100 may be provided with a lookup table that indicates message type B should be present in response to message type A, message type C should be present in response to message type B, etc. Optional relationships may also be indicated, such as message type D or message type E should be present in response to message type C. In any case, the system 100 may be provided with information that can be used to determine whether electronic messages are missing from a message group based on expected relationships between different electronic message types.
In response to determining that an electronic message is missing from a message group, the system 100 may automatically generate a notification that at least identifies the RTP transaction related to the missing electronic message. The notification may also identify the missing electronic message, and may provide additional information. For example, and without limitation, the notification may identify the RTP transaction related to the missing electronic message using a reference number, and may identify the missing electronic message by message type.
The system 100 may automatically transmit a generated notification to one or both of the sender and the receiver associated with the RTP transaction for which an electronic message has been determined to be missing. The transmitted notice may serve to inform the sender or the receiver that the identified RTP transaction appears to be incomplete, whereafter the applicable participant may investigate the RTP transaction and take appropriate action.
As also indicated in
In system examples according to the present disclosure, the RTP transaction electronic messages analyzed by the system may be of a format that complies with International Organization for Standardization (ISO) 20022. For example, and without limitation, the electronic messages may be extensible markup language (XML) messages.
The processor 102 can include one processing device or multiple processing devices. Non-limiting examples of the processor 102 include a Field-Programmable Gate Array (FPGA), an application-specific integrated circuit (ASIC), a microprocessor, etc. The processor 102 can execute instructions 106 stored in the memory 104 to perform operations. In some examples, the instructions 106 can include processor-specific instructions generated by a compiler or an interpreter from code written in a suitable computer-programming language, such as C, C++, C #, etc.
The memory 104 can include one memory or multiple memories. The memory 104 can be non-volatile and may include any type of memory that retains stored information when powered off. Non-limiting examples of the memory 104 include electrically erasable and programmable read-only memory (EEPROM), flash memory, or any other type of non-volatile memory. At least some of the memory 104 can be a non-transitory computer-readable medium from which the processor 102 can read the instructions 106. A computer-readable medium can include electronic, optical, magnetic, or other storage devices capable of providing the processor 102 with computer-readable instructions or other program code. Non-limiting examples of a computer-readable medium include magnetic disk(s), memory chip(s), ROM, random-access memory (RAM), an ASIC, a configured processor, optical storage, or any other medium from which the processor 102 can read the instructions 106.
Further, at block 410, the processor determines whether any electronic messages are missing from the message group based on the ascertained collection of message types present in the message group, where a missing electronic message indicates an incomplete electronic transaction. In response to determining that an electronic message is missing from the message group, the processor at block 412, automatically generates a notification that at least identifies the incomplete electronic transaction related to the missing electronic message. At block 414, the processor transmits the notification to a sender or receiver of the electronic messages in the message group, to notify the sender or receiver of the incomplete electronic transaction.
The foregoing description of certain examples, including illustrated examples, has been presented only for purposes of illustration and description and is not intended to be exhaustive or to limit the disclosure to the precise forms disclosed. Numerous modifications, adaptations, and uses thereof will be apparent to those skilled in the art without departing from the scope of the disclosure.
The present application is a continuation of U.S. patent application Ser. No. 18/063,713, filed Dec. 9, 2022, entitled “STATUS DETERMINATION OF ELECTRONIC TRANSACTIONS USING REDUCED MEMORY RESOURCES”, the entirety of which is incorporated herein by reference.
Number | Name | Date | Kind |
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10726501 | Ran | Jul 2020 | B1 |
12010077 | Henry | Jun 2024 | B1 |
20060173759 | Green | Aug 2006 | A1 |
20210350382 | Lopes | Nov 2021 | A1 |
20230103753 | Luo | Apr 2023 | A1 |
Number | Date | Country | |
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20240283763 A1 | Aug 2024 | US |
Number | Date | Country | |
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Parent | 18063713 | Dec 2022 | US |
Child | 18654467 | US |