About IDP
Intelligent document processing (IDP) is an advanced technology that leverages AI,
machine learning (ML), natural language processing (NLP), and optical character recognition (OCR) to automatically recognize, classify, extract, and process document data, capable of
intelligently automating and optimizing the handling of a large volume of documents.
*Intelligent document processing (IDP)
IDP Process
IDP automates document processing and workflows by utilizing AI, ML,
and NLP to handle structured, semi-structured, and unstructured document data.
STEP01. Document Data
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- Structured Data
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- Semi-Structured Data
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- Unstructured Data
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STEP02. Technology
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- AI
- Artificial intelligence
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- ML
- Machine learning
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- NLP
- Natural language
processing
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- OCR
- Optical character
recognition
STEP03. Document Automation
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- Data
Classification
IDP automatically categorizes various types of documents (contracts, invoices, emails, etc.) for identification and processing.
- Data
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- Data Extraction
IDP converts documents into digital formats
and extracts information from diverse data formats,
including text, tables, and images. -
- Text Analysis
IDP extracts essential information from documents,
employing text mining technology to analyze content
and identify crucial information, keywords, numbers,
and dates for transfer to databases or other systems. -
- Data
Verification
IDP offers features to verify extracted information
and correct errors, ensuring data accuracy. - Data
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- Workflow
Automation
IDP automates workflow, assigns tasks automatically,
and tracks task status for enhanced efficiency. - Workflow
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- Security and Compliance
IDP securely processes sensitive data and even helps
with regulatory compliance.
Mainline’s IDP Technology
Mainline's IDP technology transcends basic document processing automation by integrating NLP,
compilation, and parsing technologies. It innovates various document tasks by interpreting complex information, extracting necessary data, and combining and managing documents.
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- Improved productivity
- Automating simple, repetitive document processing tasks to improve work efficiency.
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- Cost reduction
- Reducing costs compared to manual document processing.
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- Time savings
- Shortening document processing times through automation.
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- Data integrity
- Reducing human errors and maintaining document data integrity.
IDP Industry
IDP improves business productivity across various industries, including insurance, finance, manufacturing, public services, healthcare, and logistics, to innovate and streamline document processing and data management. It automates mundane manual tasks, reduces errors, and cuts costs.
Comprehensive process automation from
product development to sales, underwriting,
compensation, renewal, and cancellation
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- Product development
- Analyzing customer data to recommend suitable
insurance products
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- Contract management
- Effective management of insurance contracts
through automatic analysis
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- Claims processing
- Reducing time and errors in insurance claims
Enhancing operational efficiency in customer information collection and management, financial transaction processing, and product development
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- Information collection and management
- Gathering data on credit cards, loans, deposits, etc.
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- Financial transaction processing
- Quick and accurate handling of transfers and payments
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- Product development
- Financial product recommendations based on
customer data analysis
Enhancing services in permit and electronic document issuance, complaint handling, administration, and welfare
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- Complaint handling
- Offering fast and accurate responses,
shortening processing times
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- Administrative work
- Streamlining administrative tasks with document automation
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- Welfare services
- Providing tailored services based on service usage analysis
Systematic management and use
of the latest patient medical records
for diagnosis and treatment
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- Medical records
- Systematic management of patients' medical records
(prescriptions, test results, etc.)
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- Diagnosis and treatment
- Using patient medical data for diagnostic predictions
and treatment plans
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- Research and development
- Developing new treatments and preventive measures
based on medical data
Simplifying and standardizing document
information to improve operational agility
and reduce costs
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- Document processing
- Quick processing of documents such as waybills and invoices
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- Data analysis
- Optimizing transport routes/times and predicting
delivery delays and inventory
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- Risk management
- Identifying and preventing risks of accidents and
losses through data analysis