System and method for verifying unstructured enterprise resource planning data

Abstract

A system and method for verifying unstructured enterprise resource planning data are provided. The method includes analyzing a first electronic document to determine at least one transaction parameterof a transaction, wherein the first electronic document includes at least partially unstructured data; creating a template for the transaction, wherein the template is a structured dataset includingthe determined at least one transaction parameter; searching, in an enterprise resource planning system, for a matching second electronic document based on the created template; and verifying the transaction, when the matching second electronic document is found.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of U.S. Provisional Application No. 62 / 405,921, filed October 9, 2016. This application is also a continuation-in-part of US Patent Application No. 15 / 361,934, filed on November 28, 2016, currently pending. The content of the aforementioned application is incorporated herein by reference in its entirety. technical field [0003] The present disclosure relates generally to validating enterprise systems, and more particularly to validating unstructured data in enterprise resource planning systems. Background technique [0004] Enterprise resource planning (ERP) is business management software that is commonly used to collect, store, manage and interpret data from various business activities, such as the expenses of a business's employees. ERP systems typically collect data related to the business activities of various departments in an enterprise. The data collected in this way can ...

AI Technical Summary

Problems solved by technology

These difficulties can lead to errors and mismatches

Results related to multiple proofs or other incorrect reporting may be erroneous when errors and mismatches are not caught in time

Manually verifying that reports match receipts is time consuming and subject to human error

Furthermore, this manual verification by itself does not correct the problem of receiving administrative data

[0009] Furthermore, existing solutions for automatically verifying transactions face challenges when utilizing electronic documents that contain at least partially unstructured data

Specifically, such solutions may be able to identify transaction data and other unstructured data in scanned receipts, but may be inefficient and inaccurate when utilizing identified transaction data

Images