Streamlining Global Trade Compliance with AI- HSN Code Solution

Top 100 Global Manufacturing Company

person welds metal
person welds metal
black and white remote control
black and white remote control
Solution

An AI Harmonized Code Solution tailored to the client's needs:

Ensemble Deep Learning Models: Combined image and text-based models for comprehensive classification using historical data and engineering drawings.

Multi-Regional Compliance: Multi-regional classification system to handle varying legislation across six geographies.

Automated Classification: Automated HS code classification integrated with the client’s ERP system.

Accuracy and Speed: Achieved a 75% accuracy rate and reduced processing time by 80% compared to manual methods.

Business Challenge:
  • Manual Classification: Reliance on manual methods led to delays and misclassifications.

  • Complex Legislation: Navigating complex legislation across multiple geographies was challenging.

  • Diverse Data Sources: Required analyzing various data sources like drawings, descriptions, and historical data.

  • Global Consistency: Maintaining consistent classification across six regions was difficult due to varying regulations.

red and black round metal
red and black round metal

Business Success:

person holding white and silver-colored pocket watch
person holding white and silver-colored pocket watch
fan of 100 U.S. dollar banknotes
fan of 100 U.S. dollar banknotes
person using laptop
person using laptop

Increased Accuracy: Achieved a 75% accuracy rate across all regions, reducing misclassification errors

Reduced Processing Time: Cut processing time by 80%, enabling faster international shipments

Compliance Assurance: Improved compliance with international trade regulations through accurate classification

Cost Savings: Reduced fines and delays, leading to substantial cost savings

The manual classification process faced significant challenges, including delays, misclassifications, and difficulties in navigating complex legislation across multiple regions. The diversity of data sources and the need for global consistency further complicated the task. These issues highlighted the need for a more efficient, accurate, and standardized approach to product classification, capable of handling the complexities of international trade regulations while ensuring consistency across different geographical regions.