Case Study: a Fortune 100 express carrier achieves more efficient HS code misclassification detection with Altana

How Altana’s Al Makes Trade Compliance Auditing & Investigation More Efficient

The customer, a Fortune 100 express carrier, faced the challenge of inefficient trade compliance audits. Manually reviewing a random sample of cross-border transactions to find HS code misclassifications was a time-consuming and ineffective process, leaving them exposed to the high risks and costs of customs non-compliance. To address this, they turned to Altana and its AI-powered Altana Atlas platform.

Altana implemented its AI solution to strategically pinpoint high-risk transactions. The Altana Atlas platform analyzed the carrier's import data, using a neural network trained on billions of shipments to score each transaction for misclassification risk and provide high-quality HS code predictions. This allowed the company to focus its human audit efforts on the most likely violations. As a result, Altana achieved over 96% accuracy in classifying approximately three-quarters of the carrier's records, making their audit process around five times more efficient than manual analysis.