Packing list

Automatically extract and process key data from Packing Lists to streamline logistics operations, reduce manual errors, and enhance supply chain efficiency.

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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 Integration

OCR accurately captures information from Packing Lists, while LLM interprets complex layouts and multilingual content to ensure seamless integration with existing systems.

2. Enhanced Accuracy and Error Reduction

Automated data extraction eliminates manual entry errors, while anomaly detection identifies discrepancies in shipment details, reducing delays and miscommunications.

3. Faster Processing for Improved Operations

The model significantly reduces processing time, enabling faster shipment validation, documentation workflows, and smoother supply chain operations.

4. Scalable and Adaptable Solution

Designed to handle diverse formats and languages, the model supports global logistics operations, ensuring flexibility and scalability as business needs evolve.

5. Improved Compliance and Audit Readiness

Comprehensive logs of data extraction and validation processes simplify internal reviews and regulatory compliance, ensuring transparency across logistics workflows.
Specifications
language-line

Chinese (Simplified, Traditional), Japanese, Korean, Thai, Vietnamese, Hindi, Malay, Arabic, English, French, German, Spanish, Russian, Italian, Portuguese, Dutch, Swedish...

Australia, Canada, China, Denmark, France, Germany, Greece, Hong Kong, India, Ireland, Japan, Malaysia, Netherlands, Norway, Philippines, Singapore, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, United Kingdom, United States, Vietnam...

Documentation
Pre-trained Model

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