Why Manual Trade Compliance Doesn’t Scale

Before the advent of AI trade compliance tools, compliance teams relied heavily on spreadsheets, disconnected systems, and manual research to classify products, monitor changing tariffs, and screen suppliers and customers. As regulations and supply chains have become more complex, those manual processes have become increasingly difficult to scale while maintaining consistency and accuracy.

For example, in 2026 alone, the U.S. tariffs on China have changed multiple times already. Supply chains are required to keep up with these changes in tariffs in order to properly evaluate shipments of imported goods. In another example, the United States has multiple export screening lists from the Departments of Commerce, State, and Treasury. Without an automated sanctions screening tool, companies must conduct these reviews against each list manually, slowing down the process. In addition, they could risk missing a company on a watchlist due to common errors, such as recent or frequent entity name changes.

AI-Powered Sanctions Screening

Artificial intelligence streamlines the sanctions screening process by going beyond simply checking if a company name is on a watchlist. AI can help organizations move beyond point-in-time screening by continuously monitoring suppliers, customers, and partners for changes that may affect compliance. Further, these tools use fuzzy matching to catch aliases, misspellings, and entity name variations that manual review could easily miss. AI tools can continuously screen against updated government watchlists and sanctions data, helping organizations identify changes that may affect compliance.

Automated HTS Classification

The U.S. has over 17,000 unique HTS codes that are used to classify imported goods. Without a highly technical and strong understanding of how to navigate import classification, companies could risk misclassification. This could lead to delays with U.S. Customs and Border Protection, or even penalties for incorrect HTS codes. Navigating HTS codes manually could cause delays in itself, as automated tools can help organizations classify goods more efficiently, reduce manual research, and improve consistency across large product catalogs.

Using artificial intelligence, HTS classification tools can review human-made, natural language descriptions of goods, as well as technical specifications, to HTS codes, while documenting the reasoning behind those recommendations. Artificial intelligence can also be used to review in bulk to identify potential errors in classification.

The Most Up-to-Date Trade Compliance Regulations

U.S. trade compliance laws are always changing, whether through new tariffs, updates to entity watchlists, or new restrictions on imported goods. Supply chains need to maintain the most up-to-date information on trade laws to avoid the risk of violations. Artificial intelligence can be used to help monitor proposed regulations and federal notices that could impact the supply chain. Proactive monitoring is essential, and machine learning makes it much faster than manual tracking.

How to Use AI for Trade Compliance

2026 is the year to upgrade your supply chain using AI. Integrating AI-powered trade compliance tools into your supply chain does not replace compliance professionals, but gives them better information, faster analysis, and greater visibility into risk. As global trade becomes more complex, organizations that combine expert judgment with AI-assisted workflows will be better positioned to adapt, reduce delays, and make more informed decisions.

This is critical; BITE is not providing an answer, we are making a recommendation based on the information provided.  Any final determination of an HTS code is done by the user.