Use Case

Goods description mapping with HS code for customs clearance process

Document Classification
Industry Logistics
Document types Custom Declaration Form
Location Hong Kong
Language English, Traditional Chinese, Simplified Chinese
Technology involved NLP, Entity Extraction, Classification, Deep Learning

Challenge

In the trade and customs declaration process, different regions have different language and format requirements, leading to the use of different legal names and Harmonized System Codes (HS Codes) for the same cargo. Incorrect HS Codes, cargo descriptions, and formats can result in serious consequences, such as additional fees for the buyer, delays in clearance procedures, or legal penalties for the trader. To address these issues, the industry is seeking a system that can assist them in the customs declaration process.
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Solutions

We developed an AI Text Analysis System for analysing goods descriptions in customs clearance process. The system consists of a Natural Language Processing (NLP) component and a matching component. The engine accepts goods description and processes the text with techniques of NLP, such as text segmentation, stemming and named entity recognition (NER). It extracts important words and their synonyms from the processed text and suggests the relevant HS Codes for customs clearance requirement.

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