AstraVision's HS code recommendation engine has been upgraded with enhanced language understanding and regulatory context processing. The improved model analyzes product descriptions along with rule references to suggest more precise candidate codes.

Users can now obtain relevant classification results more quickly with fewer manual checks, reducing misclassification risks and enabling more proactive compliance management at the early stages of trade operations.

As the model continues to learn from broader datasets, recommendation accuracy will strengthen further over time.