Bank Statements
Bank Statements contain transaction details. intelligent document systems automate data extraction, streamlining supplier payment reconciliation with improved accuracy.
Overview
In corporate financial management, supplier payment reconciliation is essential to ensure payments are accurate, timely, and free from unauthorized transactions, while maintaining transparency in financial records. Traditional manual reconciliation is often slow and prone to errors, particularly for companies with high transaction volumes or multiple accounts.
The intelligent document system can automatically extract key data from Bank Statements—such as dates, amounts, and transaction summaries—and instantly compare it with supplier payment records. This automation not only reduces manual efforts but also provides finance teams with enhanced analytical capabilities, enabling faster, more accurate payment reconciliation.
Benefits
1. Efficient Data Extraction and Matching
OCR technology automatically extracts data from Bank Statements, and LLM analyzes transaction summaries in context to quickly compare and match them with payment records or invoices.2. Error Reduction and Anomaly Detection
Intelligent algorithms detect discrepancies in amounts, dates, or accounts, while the system flags duplicate charges, missing payments, or unauthorized transactions, enabling timely financial intervention.3. Lower Operational Costs
Automated reconciliation reduces reliance on finance staff, freeing them to focus on higher-value analysis, and ensures faster processing of Bank Statements to prevent delays in payments or credit issues.4. Enhanced Compliance and Auditability
The system logs all reconciliation and anomaly handling processes, simplifying internal audits and external regulatory checks, while ensuring financial operations meet both internal controls and compliance requirements.Specifications
Chinese (Traditional), English
Hong Kong
Documentation
- Supported languages
- API Reference
- Releases
