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TeraBox CustPro - Intelligent Customs Declaration System

DEPLOYED: 01/08/2025

Project Overview

An AI-powered smart customs system enabling end-to-end intelligent processing from trade documents to customs declarations, transforming traditional manual workflows into efficient, data-driven operations.

Industry Pain Points

Low Efficiency & High Error Rate

Customs declaration involves processing a massive volume of marine trade documents. Manual data entry is slow and prone to errors, leading to potential delays and compliance risks.

Complex Decision Making

Accurately identifying HS codes and calculating taxes requires significant expertise. Manual lookups are inefficient, and calculation errors are common in complex scenarios.

Knowledge Retention Challenges

Customs clearance experience is often tacit knowledge held by individuals. It is difficult for enterprises to accumulate, digitize, and reuse this historical data effectively.

Innovative Solution

Core Methodology

The system leverages AI to automate the entire workflow:

  1. Intelligent Document Processing: Using AI OCR to recognize multiple document types (Invoices, Packing Lists, Bills of Lading, Arrival Notices) and automatically cross-checking consistency across different files.
  2. Smart Decision Support: Implementing intelligent HS code matching and tax rate judgment. The system automatically calculates critical metrics like duties and volume, while accumulating historical declaration data by client to refine future predictions.
  3. Human-AI Collaboration: "AI Preparation + Human Review" model ensures accuracy while seamlessly integrating with customs declaration systems in China, Singapore, and Japan.
System Dashboard
Figure 1. CustPro System Dashboard
AI Assistant Interface
Figure 2. AI Assistant for Document Processing

Technical Implementation

  • Hybrid Retrieval Engine: Utilizing Qdrant for vector search combined with traditional keyword search to accurately retrieve HS codes and regulatory information.
  • Multi-Modal Data Processing: detailed extraction and structuring of data from unstructured trade documents.
  • Knowledge Graph: Building a domain-specific knowledge base for customs regulations and historical cases.
Hybrid Retrieval Architecture
Figure 3. Qdrant Hybrid Retrieval Architecture
HS Code Recommendation
Figure 4. Intelligent HS Code Recommendation Logic

Value Delivered

  • Efficiency Surge: Reduced manual processing time from 1-2 hours to minutes.
  • Error Reduction: Significantly lowered the error rate in data entry and calculations through automated cross-validation.
  • Digital Inheritance: Successfully achieved the digital accumulation and inheritance of customs clearance experience, reducing dependency on individual experts.