SYSTEM AND METHOD FOR MONITORING ELECTRONIC DOCUMENTS

1 . A method for monitoring electronic documents, comprising:

analyzing a first electronic document to determine at least one transaction parameter, wherein the first electronic document includes at least partially unstructured data;

creating a template for the first electronic document, wherein the created template is a structured dataset including the determined at least one transaction parameter; and

comparing data of the created template to data associated with a plurality of second electronic documents to identify at least one abnormality in the first electronic document.

2 . The method of claim 1 , wherein determining the at least one transaction parameter further comprises:

identifying, in the first electronic document, at least one key field and at least one value;

creating, based on the first electronic document, a dataset, wherein the created dataset includes the at least one key field and the at least one value; and

analyzing the created dataset, wherein the at least one transaction parameter is determined based on the analysis.

3 . The method of claim 2 , wherein identifying the at least one key field and the at least one value further comprises:

analyzing the first electronic document to determine data in the first electronic document; and

extracting, based on a predetermined list of key fields, at least a portion of the determined data, wherein the at least a portion of the determined data matches at least one key field of the predetermined list of key fields.

4 . The method of claim 3 , wherein analyzing the first electronic document further comprises:

performing optical character recognition on the first electronic document.

5 . The method of claim 1 , wherein comparing data of the created template to data associated with a plurality of second electronic documents further comprises:

comparing a first value of the at least one transaction parameter to a second value associated with the plurality of second electronic documents, wherein an abnormality is identified when the difference between the first value and the second value at least meets a threshold.

6 . The method of claim 5 , wherein the second value is selected for comparison based on the field of the template that includes the first value.

7 . The method of claim 1 , further comprising:

generating an alert indicating the identified at least one abnormality.

8 . The method of claim 1 , wherein the at least one transaction parameter includes a transaction amount, a time pointer, and a supplier identifier, wherein the at least one abnormality includes an abnormal value of the transaction amount as compared to transaction amounts indicated in the second electronic documents.

9 . The method of claim 1 , wherein each electronic document is an electronic invoice.

10 . A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to perform a process, the process comprising:

analyzing a first electronic document to determine at least one transaction parameter, wherein the first electronic document includes at least partially unstructured data;

creating a template for the first electronic document, wherein the created template is a structured dataset including the determined at least one transaction parameter; and

comparing data of the created template to data associated with a plurality of second electronic documents to identify at least one abnormality in the first electronic document.

11 . A system for validating a transaction represented by an electronic document, comprising:

a processing circuitry; and

a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:

analyze a first electronic document to determine at least one transaction parameter, wherein the first electronic document includes at least partially unstructured data;

create a template for the first electronic document, wherein the created template is a structured dataset including the determined at least one transaction parameter; and

compare data of the created template to data associated with a plurality of second electronic documents to identify at least one abnormality in the first electronic document.

12 . The system of claim 11 , wherein the system is further configured to:

identify, in the first electronic document, at least one key field and at least one value;

create, based on the first electronic document, a dataset, wherein the created dataset includes the at least one key field and the at least one value; and

analyze the created dataset, wherein the at least one transaction parameter is determined based on the analysis.

13 . The system of claim 12 , wherein the system is further configured to:

analyze the first electronic document to determine data in the first electronic document; and

extract, based on a predetermined list of key fields, at least a portion of the determined data, wherein the at least a portion of the determined data matches at least one key field of the predetermined list of key fields.

14 . The system of claim 13 , wherein the system is further configured to:

perform optical character recognition on the first electronic document.

15 . The system of claim 11 , wherein the system is further configured to:

compare a first value of the at least one transaction parameter to a second value associated with the plurality of second electronic documents, wherein an abnormality is identified when the difference between the first value and the second value at least meets a threshold.

16 . The system of claim 15 , wherein the second value is selected for comparison based on the field of the template that includes the first value.

17 . The system of claim 11 , wherein the system is further configured to:

retrieve, based on the at least one transaction parameter, the plurality of second electronic documents.

18 . The system of claim 11 , wherein the system is further configured to:

generate an alert indicating the identified at least one abnormality.

19 . The system of claim 11 , wherein the at least one transaction parameter includes a transaction amount, a time pointer, and a supplier identifier, wherein the at least one abnormality includes an abnormal value of the transaction amount as compared to transaction amounts indicated in the second electronic documents.