Trade Data Cleaning & Enrichment for Shipment Records

Turn messy customs and Bill of Lading data into structured, reliable datasets ready for analysis, enrichment, and integration.

Clean and standardize company names across datasets

Normalize product descriptions and HS codes

Remove duplicates and inconsistent records

Enrich shipment data with structured attributes

Get a sample project See how it works

Data Pipeline Status

InputCleaningOutput

Records Processed

2.4M

Accuracy Score

99.8%

Accurate company matching

Resolve duplicate entities
Standardize company names
Improve entity-level analysis

Reliable product mapping

Normalize product descriptions
Map to HS codes
Enable product-level insights

Duplicate removal

Detect repeated records
Clean inconsistent entries
Improve dataset quality

Your “clean dataset” — clearly structured

Company Names

BeforeWALMART INC. / WAL-MART STORES

AfterWalmart Inc.

Product Descriptions

BeforePLSTC CHR W/ MTL LG

AfterPlastic Chair with Metal Legs

HS Codes

Before9403.20.00 / 940320

After94032000

Addresses

Before123 MAIN ST, STE 100, NY

After123 Main Street, Suite 100, New York, NY

Extra steps that make raw customs & declaration data usable

Advanced normalization

Data enrichment

Custom formatting

Geographic mapping

Relationship linking

Data validation

Company Profiles + Decision Maker Context

Enriched profiles

Buyer & supplier insights

Decision maker context

(keep exact wording) We enrich generic shipment records with detailed organizational structure, revenue estimates, and direct contact details for actual decision-makers.

What “cleaned data” looks like (realistic examples)

// Raw Record{
  "shipper": "SHENZHEN TECH CO LTD",
  "consignee": "GLOBAL IMPORTS LLC INC",
  "product": "ELEC PARTS AND COMP",
  "hs_code": "8542.31",
  "weight": "1200KG"
}

// Cleaned & Enriched Record{
  "shipper": {
    "name": "Shenzhen Technology Co., Ltd.",
    "country": "CN",
    "verified": true
  },
  "consignee": {
    "name": "Global Imports LLC",
    "country": "US",
    "industry": "Electronics"
  },
  "product": {
    "description": "Electronic Integrated Circuits",
    "hs_code": "85423100"
  },
  "weight_kg": 1200.0
}

A simple workflow (fast, clear, and manual-ready)

Upload your dataset

Submit your raw customs or shipment files

Cleaning workflow

Our system standardizes and maps the data

Transform & deliver

Receive structured, ready-to-use insights

What you receive (CSV + optional dashboard view)

Clean structured dataset (CSV)

id,shipper_name,consignee_name,hs_code,weight
1,"Acme Corp","Global Ltd","854231",1200
2,"Tech Inc","Imports Co","900110",450

Enriched dashboard view

Update notifications / delivery notes

What teams do with cleaned trade data

Procurement teams

Identify and verify reliable international suppliers.

Sales intelligence

Target buyers with precise product shipment history.

Market research

Analyze global trade flows with standardized metrics.

Compliance teams

Screen entities accurately against watchlists.

Want clean data instead of raw records?

Common questions

How accurate is the cleaned data?

Our trade data cleaning process utilizes advanced matching algorithms and validation against global registries to ensure formatting and structural integrity. For specific questions on delivery or format options, discuss your needs with our product experts directly.

How do you define duplicate records?

How long does processing take?

What format is delivered?

Do you support custom mapping?