Integrated System for Consistency Validation and Autonomous Correction in Standardized Mapping of Unstructured Data
The integrated system addresses ERP inefficiencies by automating unstructured data conversion, ensuring accurate and reliable ERP input through preprocessing, intent classification, context-based mapping, and autonomous correction, thereby enhancing operational efficiency.
KR102999413B1Active Publication Date: 2026-08-03SYU CO LTD
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Patent Information
- Application Number
- KR1020250129744
- Authority / Receiving Office
- KR · KR
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2025-09-11
- Publication Date
- 2026-08-03
- Estimated Expiration
- 2045-09-11
AI Technical Summary
Technical Problem
Existing ERP systems face inefficiencies and errors due to manual data conversion of unstructured data, lack of contextual understanding in mapping, and absence of autonomous error correction, leading to reduced reliability and operational efficiency.
Method used
An integrated system for unstructured data standardization that includes preprocessing, intent classification, context-based mapping, consistency verification, and autonomous correction, ensuring accurate and reliable data input into ERP systems.
Benefits of technology
Automates data processing to improve accuracy, reduce errors, and enhance operational efficiency by converting unstructured data into standardized ERP-compatible formats with traceable processing history.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention relates to the field of data processing technology for converting and linking unstructured data into standard data suitable for Enterprise Resource Planning (ERP) systems. More specifically, it relates to an integrated system for unstructured data standardization mapping consistency verification and autonomous correction that ensures stable linkage with ERP systems by converting unstructured data, such as documents, messages, and transaction records collected from various sources, into a standard column set suitable for each ERP module through preprocessing, intent classification, and context-based mapping processes, and by performing consistency verification and error correction procedures on the results. The technical gist of the present invention is that the unstructured data standardization mapping consistency verification and autonomous correction integrated system, which performs mapping from unstructured data to ERP standard data to achieve the above-mentioned purpose, comprises: a preprocessing module in which unstructured data is collected and normalized; an intent classification module in which the preprocessed data is classified according to business intents such as purchasing, sales, and production; a mapping module in which the classified data is mapped to a set of standard columns for each ERP module, and a ranking of candidate items is calculated based on context-based weights to determine the optimal item code; a consistency verification module in which the consistency of the results of the mapping module is verified and the data is excluded from ERP input if an error is detected; an autonomous correction module in which user correction or automatic remapping is performed by providing a recommended correction value when an error is detected; and an ERP linkage module in which only data that has passed the consistency verification module and the autonomous correction module is input into the ERP system, and traceability is ensured by applying idempotent keys and duplicate blocking logic during the input process and recording all processing logs.
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