HTS classification accuracy analytics
A broker surfaced classification patterns and exceptions to reduce reclassifications and the penalties that follow them.
- Reclassifications
- -27%
- illustrative
- Entries analyzed
- 180k
- historical
- Error patterns
- Flagged
- pre-filing
- Exposure
- Reduced
- penalty risk
Illustrative scenario · example figures
The challenge
Classification quality varied by filer and client, and errors only surfaced when customs pushed back, by which point a shipment was held or a penalty was in play.
What we built
We analyzed historical entries to flag inconsistent HTS usage for similar goods, classification changes over time, and clients with elevated exception rates.
- Consistency analysis of HTS codes used for similar goods.
- Reclassification and rejection rates by filer and client.
- An early-warning list of entries that match known error patterns.
Outcomes
- Inconsistent classifications are caught before filing, not after a hold.
- Training focuses on the filers and goods that need it.
- Penalty and reclassification exposure falls.
Where the data came from
Data is drawn from the systems the operation already runs on and delivered in the client’s own tenant.
Want this on your trade data?
Tell us where your numbers live and what leadership needs to see. You get a scoped plan and a quote within one business day.
Request a quote