Country of Origin: unknown → predicted.

You can predict Country of Origin by analyzing product details such as name, description, material, and category. Zonos uses AI trained on in-house data to suggest the most likely country of manufacture, even when no COO is provided.

Yes. Zonos uses AI and machine learning to predict the most likely country of manufacture based on a product’s attributes. When multiple countries are likely, Zonos ranks the possible countries according to their confidence and even includes the confidence score for each result. These scores allow you to identify high likelihood versus results that may need further review.

Accuracy depends on the quality of product data. Zonos uses an entropy-based scoring system to indicate the certainty of each prediction. The more specific the product description and category, the higher the confidence score is likely to be. For example, a product description of "Aura 123" is unlikely to provide enough data for Zonos to return a confident result.

Some products could reasonably be manufactured in more than one country. Zonos provides alternate COO options so users can understand edge cases, explore possibilities, and make informed decisions.

Country of Origin prediction is useful for:

• Customs authorities can streamline clearance processes when Country of Origin data is missing by inferring the most likely country of manufacture and applying the accompanying tariffs
• Marketplaces and platforms can assist their sellers in providing complete customs data for their products, especially in cases like secondhand marketplaces where the seller may truly not know where the item was originally manufactured.

No. Zonos provides predicted COO data to support decision-making, but it does not generate certificates of origin or trade documentation. We do not receive the original data needed to generate these documents. Instead, we are most useful when these documents are not available and you have no indication of where the product was made.