Also known as: Customs artificial intelligence, AI in trade, Trade AI
The application of artificial intelligence algorithms—machine learning, natural language processing, and computer vision—to automate and optimize foreign trade processes such as tariff classification, document review, and customs risk detection.
Customs AI refers to machine learning and natural language processing models trained specifically on international trade data—tariff codes, customs entries, regulations, Harmonized System explanatory notes—to automate tasks that traditionally required the specialized knowledge of a licensed customs broker or expert classifier.
Camtom uses proprietary AI models trained on millions of real customs operations to deliver tariff classification with over 95% accuracy through TariffPro.
AI adoption in customs reduces human errors, speeds up clearance times, and lowers operational costs. The WCO (World Customs Organization) actively promotes digitalization and AI as pillars of the customs of the future.
Classify with TariffPro
Learn more→Tariff Classification
The process of assigning the correct tariff code to a product within a country's tariff schedule, determining applicable duties and regulations.
TechnologyAI in Customs Operations
Application of artificial intelligence and machine learning to automate customs processes such as tariff classification, data extraction, and risk detection.
TechnologyMachine Learning in Classification
A branch of artificial intelligence that trains statistical models on historical tariff classification data to automatically predict the correct tariff code for goods based on their description, composition, use, and technical characteristics.
TechnologyOCR (Optical Character Recognition)
Technology that converts printed or handwritten text in scanned documents, photographs, or PDFs into editable, processable digital text, widely used in international trade to extract data from invoices, bills of lading, certificates, and other customs documents.