Trade Data Cleaning & Enrichment for Shipment Records
Bill of Lading Data gives you shipment-level import/export records. If you don’t want raw, messy data, our premium cleaning service turns it into a clean, analysis-ready dataset you can use immediately for prospecting, trade route research, market analysis, and reporting.
- 🏢Clean company names (legal name standardization + de-duplication)
- 🏷️Map products & HS codes (normalize descriptions, fill gaps, align HS)
- 🌍Translate & standardize (languages, units, weights, values, ports)
- 📇Enrich contacts (buyers, suppliers, forwarders + decision makers)
When you should use this service
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1You’re building lead lists
Find real importers/exporters with clean names, websites, contacts, and trade stats.
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2You need clean product intelligence
Turn messy descriptions into consistent product + HS-code categories.
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3You need accurate routes
Normalize ports, locations, carriers, forwarders, and trade lanes.
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4You’re reporting to clients
Get a dataset you can confidently use in dashboards, slides, and research reports.
Stop fighting raw data
Raw shipment data often has spelling variations, abbreviations, missing HS codes, multiple languages, and inconsistent units.
Find the real buyer & shipper
We help separate who is the actual shipper and who is the actual consignee, and standardize entities across records.
Prospects + routes in one place
Cleaned records + enriched company profiles make it easier to identify prospects, suppliers, forwarders, and trade lanes.
We can deliver a clean company master list + contact enrichment so you can import directly into HubSpot, Salesforce, Zoho, or any CRM.
Your “clean dataset” — clearly structured
We don’t just tidy up columns. We create a dataset that’s consistent, searchable, and usable across your workflows.
1) Company Name Standardization
We standardize company names into official legal names and reduce duplicates.
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🏢Legal name mapping
Unify “ABC CO LTD”, “A.B.C. Company Limited”, “ABC CO.,LTD” into one entity.
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🧬Entity de-duplication
Merge variations and remove repeated company entries across shipments.
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📍Clean addresses
Normalize address formatting for matching, filtering, and exports.
2) Product Cleaning, Translation & HS Mapping
Messy text becomes clear product categories aligned with HS codes (when available or when mapping is needed).
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🌍Translate descriptions
Convert non-English product lines into clear English product descriptions.
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🔎Normalize product names
Identify the final product (not just vague terms like “parts”, “items”, “goods”).
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🏷️HS code mapping
Align products to HS codes (HS2/HS4/HS6) for clean analysis and filtering.
3) Import/Export Cross-Referencing
We cross-check import records and export records for the same entities where applicable, and unify key fields.
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🔁Importer ↔ exporter matching
Match the same counterparties across shipments for stronger relationship analysis.
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📈Relationship metrics
Shipment counts, frequency, routes, and consistency between buyer/supplier pairs.
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🧪Quality flags
Mark suspected duplicates, missing fields, or inconsistent values for review.
We can deliver a relationship table (buyer_id, supplier_id) with shipment counts, last shipment date, and top routes.
4) Field Standardization (Values, Ports, Units)
We standardize the “small things” that make analysis painful: units, formats, ports, and key metrics.
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⚖️Metrics normalization
Standardize weights, quantities, units, container counts, and formatting.
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🗺️Port & location cleanup
Normalize port of loading/discharge names and location strings for filtering.
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💱Value consistency
Map import value fields, currency format handling (where present), and numeric cleanup.
Extra steps that make raw customs & declaration data usable
These are common cleanup and standardization methods we can apply depending on your dataset and goals.
Address standardization
Make addresses consistent so matching is easier across shipments and sources.
Column mapping
Different sources use different names. We align them into one consistent schema.
Anomaly & outlier flags
Flag unusual values (weights, quantities, values, route anomalies) for review and safer decisions.
Context translation
Translate + rewrite short product lines into clear “plain English” descriptions that sales teams understand.
Party role resolution
Separate shipper/consignee/notify party and unify the same party across records.
Ready-made summaries
We can add company-level summaries so you don’t have to calculate everything later.
Prospecting? Market analysis? Compliance? Route mapping? We will apply the cleaning rules that fit your output.
Company Profiles + Decision Maker Contacts
Turn shipment rows into real outreach-ready profiles. We enrich importers, exporters, and logistics companies with business details and multiple contact points.
Buyer & Supplier Profiles
Useful for lead lists and account-based targeting.
Logistics & Forwarder Identification
Spot freight forwarders and logistics partners involved in routes.
Decision Maker Contacts
Multiple points of contact for sales, sourcing, logistics, or procurement.
Identify the real shipper vs. consignee
Many shipment records contain multiple parties. We help label and standardize: shipper, consignee, notify party, and related roles — so you can target the right company.
Why it matters
Prospecting fails when you contact the wrong entity. Clean role labeling helps you reach the decision-maker side.
Typical output
Role columns + standardized company IDs so every shipment links to the correct party and profile.
We can add company IDs and standardized keys so every record maps cleanly to your CRM or BI model.
What “cleaned data” looks like (realistic examples)
These are illustrative examples of what gets standardized and how the output becomes analysis-ready.
Different spellings → one official company entity.
ABC CO LTD
A.B.C. COMPANY LIMITED
ABC CO.,LTD
Cleaned:
ABC COMPANY LIMITED (+ company_id: 104992)
Non-English or vague text → clear English product name.
“PLÁSTICO - PIEZAS VARIAS”
Cleaned:
“Injection-molded plastic parts (assorted)”
Normalized category: Plastic components
Messy descriptions → HS grouping for clean filtering.
“LED LAMP PARTS / DRIVER”
Mapped:
Product: LED lamp driver (power supply)
HS6: 850440 (example)
HS4: 8504
HS2: 85
Mapping depends on your product scope and the available fields in the source records.
Inconsistent formats → consistent fields for dashboards.
POL: “Los Angles”, “LA/LONG BEACH”, “Los Angeles, CA”
Weight: “2,000 KGS”, “2T”, “2000kg”
Cleaned:
POL: Los Angeles / Long Beach (standard label)
Weight_kg: 2000
Different address styles → consistent address fields for matching and CRM uploads.
“12/F, BLK A, 88 QUEEN RD, CENTRAL”
“88 Queen Road Central, Floor 12, Block A”
Cleaned:
Address_1: 88 Queen Road Central
Address_2: Floor 12, Block A
City: Central
Postal_Code: (standardized if present)
Repeated rows or minor variations → single clean record + reference flags.
Same BL no. appears 3 times with tiny text differences
Cleaned:
One shipment row kept (best field completeness)
Duplicate_flag: TRUE
Duplicate_group_id: 77821
Share your target product/HS and country focus — we’ll recommend the cleaning + mapping approach.
A simple workflow (fast, clear, and manual-quality)
We run this as a premium, manual + structured workflow so the end result is trustworthy and usable.
Tell us your goal
Prospecting, market analysis, route mapping, supplier discovery, or client reporting — we tailor the cleaning rules accordingly.
We clean & map the data
Company names, HS/product mapping, translation, ports, values, and role labeling (shipper/consignee) are standardized.
We enrich (optional)
Add company profiles and multiple decision maker contact points for importers, exporters, and logistics companies.
Delivery
We deliver a clean CSV file. If requested, we can also upload the dataset to your dashboard for search and analysis.
Review & iterate
We can refine mapping rules, add new fields, and scale to bigger volumes once the first batch meets your needs.
Ongoing updates
For recurring use, we can run scheduled updates and keep your clean dataset current.
What you receive (CSV + optional dashboard view)
Everything is delivered in clean tables so your team can use it immediately in Excel, BI tools, CRMs, or internal systems.
Clean Shipment Records (CSV)
A standardized dataset designed for filtering and analysis.
- 🧩Normalized company IDs
Each buyer/supplier/forwarder can have a unique ID for consistent matching.
- 🧱Standard fields
POL/POD, dates, weights, quantities, values, product names, HS levels.
- 🏷️Role labeling
Clear shipper / consignee / notify party columns (where available).
Enrichment Tables (Optional)
Company profiles + contacts that turn data into outreach.
- 🌐Company profile table
Website, address, industry tags, and aggregated trade activity.
- 📇Contacts table
Names, roles, and multiple contact points (where available).
- 🤝Relationship table
Buyer-supplier links, shipment counts, recency, and route summaries.
Optional: Dashboard upload for analysis
If you want a searchable experience, we can upload the cleaned dataset to your Bill of Lading Data dashboard. That makes it easier to filter, search company profiles, and run analysis without managing files.
We can format outputs as: Companies, Contacts, Deals/Relationships, and Activities—so your sales team can start immediately.
What teams do with cleaned trade data
Clean data is easier to trust — and faster to turn into action.
Prospecting & lead lists
Find importers/exporters buying specific products, filter by routes, volumes, and recency, then export for outreach.
Trade route & lane analysis
Understand port-to-port movement, shipping patterns, frequency, and where competitors are shipping from/to.
Supplier & buyer discovery
Identify suppliers shipping to target markets, map buyer-supplier relationships, and validate real trading activity.
Market & category research
Group shipments by HS/product categories and build clean charts and summaries without manual cleanup.
Logistics partner targeting
Spot forwarders and logistics companies active on specific lanes, and enrich them with contacts for outreach.
Client reporting
Create deliverables your clients can trust: clean datasets, clean company lists, and clear insights.
Choose the service level that fits
Most customers start with a small sample batch, then scale once the output matches their exact needs.
Best when you already have enrichment in-house.
- Company name cleanup & de-duplication
- Standard fields (ports, units, values formatting)
- Basic product normalization
- CSV delivery
Most popular for product & HS-based analysis.
- Everything in Clean Only
- HS mapping (HS2/HS4/HS6 where needed)
- Translation of product descriptions
- Importer/exporter cross-referencing (where applicable)
- Optional dashboard upload
Best when you want outreach-ready datasets.
- Everything in Clean + Mapping
- Company profiles (website, address, industry tags)
- Decision maker contacts (where available)
- Forwarder & logistics enrichment
- Relationship metrics & summaries
This is a manual premium service. Scope, timeline, and pricing depend on your dataset size, countries, and enrichment requirements.
Want clean data instead of raw records?
Send your requirement and we’ll recommend the right cleaning + enrichment scope.
Common questions
Is this automated or manual?
This is a premium manual service with structured cleaning rules. We do it this way because shipment data needs real-world judgment: names, entities, product meaning, and role labeling.
How do you deliver the data?
Standard delivery is a clean CSV file. If requested, we can also upload the cleaned dataset to your Bill of Lading Data dashboard for analysis.
Can you match importer and exporter records?
When datasets allow matching, we cross-reference import/export records for the same entities and align key fields. Output depends on the availability of identifiers and the country coverage.
Can you identify the real shipper vs consignee?
Yes — where roles are present in the source records, we standardize and label parties (shipper, consignee, notify party, etc.) so you can target the right entity.
Do you map HS codes if the HS code is missing?
We can map HS codes based on product descriptions and your preferred HS level (HS2/HS4/HS6). Accuracy depends on product clarity and scope.
Do you provide contact details?
Yes, as an optional enrichment. We can add company details and multiple decision maker contact points (where available) for buyers, suppliers, and logistics companies.