Journey of MDocs


Business Process Usecases - MDocs

you can relate this use cases with any of your existing automation needs

OCR with Intelligence

  • Optical Character Recognition (OCR) Integration:

    Document intelligence seamlessly incorporates OCR technology to extract text and data from scanned or image-based documents.

  • Data Parsing:

    It processes the extracted text to identify and organize relevant information such as names, dates, numbers, and addresses.

  • Natural Language Processing (NLP):

    Document intelligence employs NLP algorithms to understand the context and meaning of the extracted content, enabling it to identify key insights and relationships within the document.

  • Machine Learning:

    It utilizes machine learning models to improve accuracy over time, adapting to various document types and languages.

  • Data Enrichment:

    Document intelligence can enrich extracted data by cross-referencing it with external sources, adding valuable context and accuracy to the information extracted from documents.

Preparing Data for bots from documents

  • Data Structuring:

    Ensure documents are consistently formatted with clear headings, tables, and labels to facilitate data extraction by robotic processes.

  • Standardized Naming Conventions:

    Use consistent file and folder naming conventions to help robots easily locate and access the required documents.

  • Data Tagging:

    Apply tags or metadata to documents to indicate the type of content they contain, making it easier for robots to identify relevant data.

  • Quality Control:

    Implement a quality control process to verify and correct errors in document data before robotic processing, reducing the risk of inaccuracies in downstream operations.

  • Version Control:

    Maintain version control for documents to track changes and updates, allowing robots to access the most current and relevant information when needed.

Automation of PO, Invoices

  • Data Extraction:

    Automation PO intelligence extracts essential information from invoices, such as invoice numbers, dates, amounts, and vendor details.

  • Validation and Matching:

    It validates the extracted invoice data against purchase orders and receipts to ensure accuracy and compliance with procurement processes.

  • Approval Workflows:

    The system routes invoices for approval based on predefined rules and thresholds, streamlining the approval process and reducing manual intervention.

  • Payment Integration:

    It integrates with payment systems to initiate payments for approved invoices, automating the accounts payable workflow.

  • Reporting and Analytics:

    Automation PO intelligence provides insights and analytics on invoice processing, helping organizations optimize their procurement and financial operations.


BOE automation

  • Data Capture:

    Automation BOE intelligence captures data from Bill of Entry (BOE) documents, extracting key information like product details, quantities, customs information, and importer/exporter data.

  • Validation and Compliance:

    It verifies the BOE data against regulatory requirements and compliance rules, ensuring adherence to import/export regulations and minimizing errors.

  • Integration with Customs Systems:

    Automation BOE intelligence integrates with customs and trade compliance systems to facilitate seamless data sharing and submission of accurate BOE information.

  • Workflow Automation:

    The system automates the workflow for BOE processing, including document submission, approval, and tracking, reducing manual efforts and speeding up clearance processes.

  • Reporting and Audit Trails:

    It generates reports and maintains audit trails of BOE transactions for transparency and compliance monitoring, aiding in record-keeping and regulatory audits.


KYC automation

  • Document Verification:

    KYC automation intelligence verifies identity documents such as passports, driver's licenses, and IDs, ensuring they are valid and unaltered.

  • Data Extraction:

    It extracts relevant customer information from submitted documents, including name, address, date of birth, and photo identification.

  • Watchlist Screening:

    KYC automation checks customer data against watchlists and databases to identify potential risks, such as politically exposed persons (PEPs) or individuals with sanctions.

  • Risk Assessment:

    The system assesses the risk associated with each customer based on their provided information and transaction history, categorizing them as low, medium, or high risk.

  • Compliance Reporting:

    KYC automation generates compliance reports and maintains audit trails to demonstrate regulatory compliance, facilitating a streamlined and auditable KYC process.


Bank Statement Automation

  • Data Extraction:

    Bank statement intelligence extracts essential data from bank statements, including transaction details, dates, account balances, and account holder information.

  • Categorization and Analysis:

    It categorizes transactions into income, expenses, and transfers, and performs financial analysis to identify spending patterns and anomalies.

  • Trend Identification:

    The system identifies financial trends and behaviors over time, helping users understand their financial health and make informed decisions.

  • Compliance Checks:

    Bank statement intelligence checks for compliance with financial regulations and flags any unusual or suspicious activities for further investigation.

  • Reporting and Insights:

    It generates reports and provides insights into financial status, enabling individuals and businesses to manage their finances more effectively.


Unstructured Financial ledgers

  • Data Extraction:

    Unstructured financial ledger intelligence extracts data from diverse and unorganized financial documents, including invoices, receipts, and handwritten records.

  • Structuring Information:

    It organizes extracted data into structured formats, such as balance sheets, income statements, and transaction records, for easy analysis.

  • Automated Classification:

    The system categorizes financial entries, identifying income, expenses, assets, and liabilities, to create a coherent ledger.

  • Error Detection:

    It identifies and rectifies discrepancies or errors in financial data to maintain accurate and compliant financial records.

  • Reporting and Analysis:

    Unstructured financial ledger intelligence provides insights and generates reports to assist businesses in making informed financial decisions and complying with accounting standards.

packaging list

Packaging list, Cirtificate of origins

  • Data Extraction:

    Packaging list and Certificate of Origin intelligence extracts crucial information from these documents, such as product details, quantities, packaging specifications, and origin information.

  • Verification and Validation:

    It verifies the accuracy and authenticity of the data against predefined criteria and regulations to ensure compliance with trade and customs requirements.

  • Document Matching:

    The system matches the information from the packaging list and Certificate of Origin with other shipping and import/export documents to streamline customs clearance and reduce errors.

  • Compliance Reporting:

    It generates compliance reports to demonstrate adherence to trade regulations and standards, facilitating smoother international trade operations.

  • Workflow Integration:

    Packaging list and Certificate of Origin intelligence seamlessly integrates with supply chain and logistics workflows to automate document handling, reducing manual effort and errors in trade processes.

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