Clean Your Product Database with Data Deduplication

Reduce duplicate records across large product catalogs and databases. We identify repeated, overlapping, and closely matching product information. Our team can process supplier, marketplace, and internal product data.

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Organized Product Databases Through Data Matching & Deduplication

Our Data Matching & Deduplication Services help businesses identify duplicate, overlapping, and closely related product records across large product catalogs and databases. Product information often comes from different suppliers, manufacturers, marketplaces, spreadsheets, websites, internal systems, and databases, resulting in multiple records for the same product with variations in names, SKUs, descriptions, specifications, or formatting.

We compare product information across multiple data sources to identify matching or potentially duplicate records. Our team can review product titles, SKUs, product IDs, model numbers, brands, specifications, dimensions, sizes, colors, materials, descriptions, and other product attributes to determine whether records represent the same or related products.

Our services can support exact matching as well as rule-based and attribute-based matching. We can identify duplicate product records, consolidate related information, flag potential matches for review, map product identifiers, and organize the final data according to your required structure. This can be useful when merging supplier catalogs, cleaning product databases, preparing marketplace data, migrating systems, or maintaining large eCommerce catalogs.

Whether you need a one-time duplicate data cleanup, supplier data comparison, product record matching, or recurring deduplication support, our workflow can be adapted to your catalog size, data sources, matching rules, and business requirements.

Data Matching & Deduplication Process

A Systematic Process for Identifying Matching and Duplicate Records

Our process combines data review, field comparison, matching rules, duplicate identification, and quality checks to organize product records effectively.

1. Requirement Analysis

We review your matching objectives, data sources, product fields, duplicate criteria, and expected output. This helps establish the appropriate matching approach.

2. Data Collection

We collect product information from spreadsheets, CSV files, supplier catalogs, databases, eCommerce platforms, marketplaces, or other sources.

3. Data Structure Review

We review the available fields, formats, identifiers, product attributes, and data quality to understand how records can be compared.

4. Matching Criteria Setup

We define matching rules using fields such as SKU, product ID, brand, product name, model number, specifications, attributes, or combinations of multiple fields.

5. Product Record Comparison

Records are compared across the selected fields to identify exact matches, similar records, potential matches, and duplicate entries.

6. Duplicate Identification

Duplicate and overlapping product records are identified and grouped according to the applicable matching rules.

7. Match Review & Data Consolidation

Matching results are reviewed and, where required, relevant product information is organized into consolidated records or structured output files.

8. Quality Verification

The processed records are reviewed for incorrect matches, missed duplicates, inconsistent identifiers, and other data issues before finalization.

9. Final Delivery & Ongoing Support

The final matched and deduplicated data is prepared according to your required format. Recurring matching and deduplication support can also be provided as new data is added.

Data Matching & Deduplication Solutions for Organized Product Records

Product Record Matching

Product Record Matching

We compare product records using available identifiers and product information to determine whether different records refer to the same or related product.

Duplicate Product Identification

Duplicate Product Identification

Our team identifies repeated product records within databases, spreadsheets, catalogs, and other data sources. Duplicate records can be flagged or processed according to your requirements.

SKU & Product ID Matching

SKU & Product ID Matching

We compare SKUs, product IDs, model numbers, part numbers, and other identifiers to connect records that represent the same product.

Product Attribute Matching

Product Attribute Matching

We compare attributes such as brand, size, color, material, dimensions, capacity, and specifications to identify matching or similar product records.

Supplier Data Matching

Supplier Data Matching

We compare product information received from multiple suppliers and map records that represent the same products despite differences in formatting or naming.

Product Record Consolidation

Product Record Consolidation

We help organize matched records so that relevant product information can be consolidated into a structured master record or required output format.

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Complete Data Matching, Record Linking & Deduplication Support

Exact Product Record Matching

We identify records that contain identical or directly matching product information based on defined fields.

  • SKU matching
  • Product ID matching
  • Model number matching
  • Exact product name matching
  • Brand matching
  • Record-to-record comparison

Product Attribute Matching

We compare product attributes to identify records that may represent the same product even when some fields differ.

  • Brand comparison
  • Size matching
  • Color matching
  • Material matching
  • Specification comparison
  • Dimension matching

Duplicate Product Data Identification

We identify repeated product records within a single database or across multiple product data sources.

  • Duplicate record detection
  • Repeated SKU identification
  • Duplicate product name review
  • Repeated product ID detection
  • Duplicate attribute review
  • Catalog duplicate analysis

Supplier Product Data Matching

We compare product records from different suppliers and identify products that appear across multiple supplier catalogs.

  • Supplier SKU comparison
  • Product name matching
  • Brand matching
  • Manufacturer comparison
  • Specification matching
  • Cross-supplier product mapping

Cross-Platform Product Matching

We compare product records across different eCommerce platforms and marketplace sources.

  • Marketplace product matching
  • Platform-to-platform comparison
  • Product ID mapping
  • SKU comparison
  • Product attribute matching
  • Cross-platform record linking

Fuzzy & Similar Product Matching

We can identify potentially matching records where product names, descriptions, or other fields have minor differences.

  • Similar product name matching
  • Spelling variation review
  • Abbreviation comparison
  • Formatting variation handling
  • Attribute-based comparison
  • Potential match identification

Product Record Consolidation

We help organize matching records into structured output formats after the matching process.

  • Master product record preparation
  • Duplicate record grouping
  • Product information consolidation
  • Field-level data comparison
  • Preferred record identification
  • Consolidated data formatting

SKU & Identifier Mapping

We connect different product identifiers that refer to the same product across systems or suppliers.

  • SKU mapping
  • Product ID mapping
  • Manufacturer part number mapping
  • Model number comparison
  • Supplier identifier mapping
  • Cross-system identifier linking

FAQs – Data Matching & Deduplication

  • What is Data Matching & Deduplication?
    Data matching is the process of comparing records to identify products or records that represent the same or related items. Deduplication focuses on identifying and managing duplicate records within or across data sources.
  • What product data can you match?
    We can compare product names, SKUs, product IDs, model numbers, brands, descriptions, categories, specifications, dimensions, sizes, colors, materials, variations, and other relevant product fields.
  • Can you match products from multiple suppliers?
    Yes. We can compare supplier product records and identify products that appear across different supplier catalogs using identifiers, product attributes, descriptions, and other matching criteria.
  • Can you identify duplicate products with different SKUs?
    Yes. Products with different SKUs can be compared using other fields such as product names, brands, model numbers, specifications, dimensions, and attributes to identify potential matches.
  • Do you support fuzzy or similar product matching?
    Yes. Where required, matching can consider variations in spelling, formatting, abbreviations, product names, and other product fields to identify potentially matching records.
  • Can you match large product databases?
    Yes. We support bulk data matching and deduplication projects involving large product catalogs, multiple spreadsheets, supplier files, databases, and other product data sources.
  • Can you match product data across different eCommerce platforms?
    Yes. Product records can be compared across platforms and marketplaces such as Shopify, WooCommerce, Amazon, eBay, Walmart Marketplace, Etsy, Magento / Adobe Commerce, and other systems.
  • What happens after duplicate records are identified?
    Depending on your requirements, duplicate records can be flagged, grouped, mapped, reviewed, or organized into a consolidated output. The final approach can follow your database or catalog management rules.
  • Can you match product attributes and specifications?
    Yes. We can compare attributes and specifications such as brand, size, color, material, dimensions, model, capacity, technical details, and other relevant fields.
  • Do you provide ongoing data matching and deduplication?
    Yes. Ongoing services can be used to review new product data, supplier updates, catalog additions, marketplace records, and other incoming information for potential matches and duplicates.
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