Question 1

What data fields must align for a duty drawback claim to be approved?

Accepted Answer

At the CBP record level, import entries and export shipments must align on HTS code, unit of measure, quantity, and timeline within regulatory windows. The CBP Form 7501 requires that the unit of measure match precisely. Beyond those required fields, Zollback's matching engine also reconciles country of origin, accounting method, and product identity across sources — catching the mismatches that cause claim rejections before they reach CBP.

Question 2

How does Zollback handle trade data spread across multiple systems?

Accepted Answer

Zollback ingests data from any source — SAP, Oracle, freight forwarder portals, broker spreadsheets, customs declarations, and raw PDFs — using ERP integration APIs and AI document parsing. Once ingested, the platform normalizes all records into a unified schema, resolves entity mismatches, removes duplicates, and produces a single clean dataset. This eliminates the manual reconciliation work that typically takes traditional providers months to complete.

Question 3

What causes the most common duty drawback data matching failures?

Accepted Answer

The most frequent matching failures stem from inconsistent units of measure between import and export records, product descriptions that differ across systems, duplicate entries from multiple brokers, and missing or misformatted HTS codes. Partial shipment matching — where one import entry must be split across multiple export records — is another common source of errors. Zollback's normalization and entity resolution layers are specifically designed to catch and correct these failure points before optimization.

Question 4

Does Zollback require me to reformat or map my data before uploading?

Accepted Answer

No. Zollback accepts raw documents in any format — PDF, CSV, XML, EDI, or ERP exports — without requiring any preprocessing or template mapping on your end. The AI field mapping layer handles schema normalization automatically after ingestion. You upload your documents as they are, and the platform structures them into a unified dataset ready for drawback optimization.

Question 5

How does Zollback ensure data matching accuracy for CBP submissions?

Accepted Answer

Every matched dataset passes through both automated conflict resolution and a compliance review by in-house licensed customs brokers before any claim is filed. The platform maintains a complete audit trail of every data transformation, mapping decision, and entity resolution so that each submitted record can be traced back to its source document. SOC 2 Type 1 certified data handling ensures security throughout the process.

Question 6

Can Zollback handle partial shipments or multi-entry import-export matches?

Accepted Answer

Yes. Zollback's refund optimization engine evaluates all possible import-export matching combinations, including scenarios where a single import entry is allocated across multiple export shipments or where multiple import records contribute to one export record. This combinatorial approach is what allows Zollback to recover 15-20% more than traditional providers who match records manually using a single fixed permutation.

Automated Duty Drawback Data Matching

Unified Trade Data From Any Source

Unified Trade Data From Any Source

Ingest Any Trade Document Format

Automatic Field Normalization Across Sources

Resolve Mismatched Products and Partners

Deduplication and Conflict Resolution

Full Audit Trail for Every Transformation

See What Your Messy Trade Data Is Worth

Duty Drawback Data Matching Questions