Cargo Classification Tool
Description
The need to improve data classification, enable better machine learning integration, and facilitate nuanced trade entity risk assessments. By categorizing goods based on their descriptions and characteristics, these classifiers help identify potential threats associated with specific cargo types associated with prior violations.
Detailed example
The Cargo Classification Tool produces outputs that map cargo commodity descriptions to their most probable tariff codes, enhancing classification accuracy. These outputs integrate seamlessly into broader threat-specific risk models, providing features to support predictive risk assessments in cargo security.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
CBP’s Cargo Classification Tool improves trade compliance and enhances cargo risk assessment by streamlining the classification of goods, enabling better integration with machine learning systems, and refining entity risk evaluations. It identifies potential threats linked to specific cargo types and prior violations by categorizing goods based on their descriptions and attributes. These improvements contribute to faster, more accurate classification and risk-based targeting, which strengthens security and facilitates trade.
Controls / human review
ATO: Yes; PIA: https://www.dhs.gov/sites/default/files/publications/privacy_pia_cbp_tsacop_09162014.pdf
Data needed
This model leverages data provided by carriers within the Automated Commercial Environment (ACE), as well as transformations of that data within the Automated Targeting System (ATS).