Automated HS Code Classification System
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Solution Overview
Problem
Current methods for determining Harmonized System (HS) codes are time-consuming, costly, and prone to errors, requiring interaction between technical and commercial teams, and often rely on textual searches that fail to account for the complexity and specificity of product classification, leading to misclassification and increased compliance costs.
Innovation Solution
A web-based system that includes a server, framework, repository, user interface, and modules for logging in, querying, and uploading information to find precise HS codes, allowing users to input product details and receive accurate classifications across languages and countries, while enabling remote consultancy and payment processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If textual search methods are used to find HS codes, then the search process is simple, but the classification precision is low leading to misclassification
Solution Approach 1:
The patent introduces an intermediary expert system that acts as a mediator between the user's product description and the HS code database. This expert system analyzes product characteristics, compares them with classification rules, and determines the appropriate HS code, thereby improving classification precision without requiring the end user to directly handle complex classification logic
Solution Approach 2:
The patent replaces manual textual search methods with an automated expert system that uses structured analysis of product characteristics. This substitution transforms the mechanical process of keyword searching into an intelligent system that evaluates multiple product attributes against classification criteria, significantly improving accuracy
2Measurement precision
If expert consultants are engaged to determine HS codes, then the classification accuracy is high, but the cost and time consumption increase
Solution Approach 1:
The patent enables users to independently determine HS codes through an automated system that guides them through a questionnaire process. The system self-services by automatically analyzing responses, comparing products against the HS code database, and generating classification results without requiring external expert intervention, thereby reducing both time and cost while maintaining accuracy
Solution Approach 2:
The patent performs preliminary actions by pre-structuring the classification process through a questionnaire that collects essential product characteristics before HS code determination. This preliminary data collection and analysis preparation enables faster and more accurate classification by having all necessary information organized in advance
3Productivity
If manual classification processes are used, then flexibility in handling complex products is maintained, but productivity is low
Solution Approach 1:
The patent segments the classification process into distinct modules: a questionnaire module that collects product information, an analysis module that processes responses, and a database module that stores HS code data. This segmentation enables parallel processing and automation while maintaining the ability to handle complex products through structured data collection and systematic analysis
Data Source
AI summary
The present disclosure discloses a system (100) for finding a tariff code. The system (100) includes a server (102) implementing a web-based platform having a framework (102a) and repository (102b). The server (102) includes a user interface (104) to receive user inputs from a user application running on a computing device, an admin interface (106) manage and validate user details to generate login credentials; a login module (108) to enable the user to login to an account; an input module (110) to allow the user to select an enquiry form and submit enquiry form; a crawler and extractor module (112) to crawl through a list of questions stored and extract questions based on the enquiry form; a display module (114) display response; a response analyzer (116) to analyze the responses provided by the user and prompt the user to upload a relevant media; an uploading module (118) to upload the relevant media; and an HS code finder (120) to find the HS code with information.