Product Data Matching Services

Professional Product Data Matching Services for Catalog Consolidation and Cross-Platform Deduplication

We provide expert product data matching outsourcing solutions for retailers, distributors, data aggregators and eCommerce businesses that need to identify the same products appearing across multiple data sources — different supplier feeds, multiple marketplace exports, legacy and current system catalogs, or collected competitor product data. Product matching resolves one of the most persistent challenges in catalog management: when the same physical product has different names, different SKUs, different GTINs or different attribute sets depending on which source it came from.

Our professional product matching team in India uses exact identifier matching, fuzzy text similarity, attribute fingerprint comparison and manual review for edge cases to identify duplicate and matching products across your datasets — consolidating them into a clean, unified product master without accidentally merging genuinely distinct products.

Product matching accuracy determines the quality of your consolidated catalog. Our documented process and specific exception handling for uncertain matches gives your catalog team full visibility into every matching decision before the consolidated output is used.

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✓ SKU and GTIN Matching ✓ Cross-Platform Deduplication ✓ Supplier Feed Consolidation ✓ Catalog Master Build ✓ Ambiguous Match Flagging

Trusted & Secure

🔒NDA Protected 🌐GDPR Aware ✅99.9% Accuracy 🎯Free Pilot Batch ⚡Fast Turnaround 🌍45+ Countries Served

5000+ Completed Projects

90% Returning Clients

16+ Years Experience

45+ Countries Served

50+ Professionals Team

Service Overview

Expert product matching that unifies catalog data without incorrectly merging distinct products

Exact identifier matching (GTIN, SKU, MPN)
Fuzzy product name and attribute matching
Attribute fingerprint comparison
Confidence-scored match output
Confirmed matches and uncertain match flags
Consolidated master product build support

Product matching is a combination of systematic rules-based processing and careful manual review for ambiguous cases. Exact matches on verified identifiers like GTIN/EAN barcodes are straightforward. Matches based on product name similarity and attribute comparison require judgment — two products can have very similar names but be different variants (same product, different size), and that distinction matters for whether they should be merged or kept separate.

We apply a confidence-scored matching approach: high-confidence exact identifier matches, medium-confidence name-and-attribute matches (presented for review before merge) and low-confidence possible matches (flagged with both records preserved for your catalog team to resolve). This prevents accidental merging of distinct products from similar name or attribute overlap.

Our India-based product matching team has processed cross-platform catalog consolidation projects for multi-brand retailers, wholesale distributors migrating to new systems and marketplace sellers managing inventory across multiple channels.

Matching Services

Expert Product Data Matching for Catalog Consolidation and Quality

Each matching project is designed around your identifier types, source data quality and consolidation requirements.

GTIN and unique identifier matching

We match products across datasets using standard product identifiers — GTIN, EAN, UPC, ISBN, MPN, ASIN and other unique codes — providing the highest confidence matching approach when identifiers are present and accurate. Identifier-based matching is fast and reliable when source data is clean. When identifier data is inconsistent across sources — GTINs missing from some records, incorrect checksums, manufacturer part numbers formatted differently — we identify and document the quality issues affecting identifier matching reliability before extending to supplementary matching approaches.

Fuzzy name and attribute matching

We match products using name similarity, title comparison and attribute fingerprint analysis when exact identifiers are not available or reliable. Fuzzy matching applies similarity scoring to product names, using normalised comparison that removes stop words, standardises formatting, handles common abbreviations and compares the resulting normalised strings. Attribute matching adds specificity by comparing category, size, colour, material and other available attributes — two products with 92% name similarity but different sizes are not the same product.

Cross-supplier catalog deduplication

We deduplicate product catalogs built from multiple supplier feeds — identifying where different suppliers are supplying the same product under different names, with different SKUs and potentially with different attribute completeness. Cross-supplier deduplication is essential for distributors and multi-brand retailers whose product database accumulates the same physical product from three different suppliers under three different records.

Marketplace cross-listing consolidation

We match product listings across multiple marketplace channels — Amazon, eBay, Walmart, own-website — identifying where the same product is listed on different platforms with different titles, different SKUs and potentially different attribute values. Cross-channel product matching supports unified inventory management, review aggregation and consistent product information management across all selling channels.

Product master build and consolidation

After matching, we assist with building a unified product master record by selecting the best attribute values from matched records, combining complementary attributes from different sources and flagging conflicts where matched records provide different values for the same attribute. The resulting product master forms a clean, deduplicated basis for catalog management across all downstream systems and channels.

Inputs and Output

We work with the files you already have

📂 Source formats we accept

Multiple source product catalog files
Supplier feed exports for consolidation
Marketplace channel export files
Existing product master for deduplication checking
Identifier reference files (GTIN, MPN databases)

📤 Delivery formats

Matched product pairs with confidence scores
Confirmed match and merge files
Uncertain match flagging reports
Consolidated product master file
Unmatched product remainder lists

How It Works

How we manage product data matching projects

Source and Platform Review

We review your supplier files, platform category requirements, existing listing structure and brand guidelines before any entry begins. Flat file column requirements, variation theme rules and your approval workflow are confirmed in writing before production starts.

NDA and Account Access Setup

NDA signed before any source files or platform credentials are shared. Seller Central, Shopify or platform access scoped strictly to catalog entry functions — no payment, pricing rule or account settings access beyond project scope.

Pilot Listing Batch

20–50 products processed across your key categories and returned for your review. Title format, attribute mapping, variation structure and image coordination confirmed before full production is committed.

Batch Production with Attribute Validation

Full catalog processed in controlled batches. Required attribute completeness, category compliance, variation integrity and image mapping checked between every phase before the next batch begins.

Upload Review and Error Correction

Platform processing reports reviewed after submission. Field-level errors identified, corrected in the source file and resubmitted without requiring your team to diagnose each failure.

Delivery and Ongoing Account Support

Completed batches delivered with a specific exception log noting SKU, field and issue for items your team needs to address. For recurring arrangements the same team maintains your account, improving familiarity with every cycle.

Need product data matched across multiple sources or platforms?

Share sample files from the sources you need matched and describe your consolidation objectives. We run a free sample matching process so you can review accuracy and confidence scoring before committing to the full project.

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Free product matching sample returned within 24-48 hours.

Why Outsource to SDES?

Why eCommerce businesses outsource product catalog work to SDES India

Platform-specific attribute requirements confirmed before any entry begins
Pilot batch approval before large catalogs are committed to production
Attribute mapping verified — upload error rate consistently below 1%
Variation structures built correctly the first time, not rebuilt after errors
Upload error reports reviewed and corrected as part of every project cycle
No long-term contract — scale up for launches, peaks and catalog updates

Your catalog is the foundation of your marketplace revenue. Attribute gaps exclude listings from filtered search. Incorrect categories reduce relevance. Broken variation structures fragment review counts. Every data quality problem in your catalog has a direct revenue consequence — and we treat every field with that in mind.

We handle the systematic, detail-intensive work of building and maintaining product catalog data so your team can focus on supplier relationships, pricing strategy and sales growth rather than flat file templates and upload error reports.

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Industries We Support

Expert product matching for multi-source catalog management businesses

Multi-Channel Sellers

Cross-channel product matching for sellers managing listings on multiple marketplace and direct platforms.

Distributors

Multi-supplier catalog deduplication and product master build for wholesale distributors managing multi-brand product ranges.

Manufacturers

Product identifier reconciliation and catalog deduplication for manufacturers managing products across retail and distributor channels.

Data Aggregators

Large-scale product matching and deduplication for product data aggregation, price comparison and catalog data services.

Retailers

Multi-supplier product consolidation and catalog deduplication for retail businesses managing large multi-brand product ranges.

Commerce Agencies

Product matching support for catalog migration, platform consolidation and product data quality improvement projects.

Quality and Security

Accurate output, handled securely

Every platform engagement begins with a signed NDA and access limited to the catalog management functions your project requires. We do not request permissions beyond the current scope — no payment methods, pricing rules, promotional settings or account configurations are accessed or modified.

Required attributes that cannot be completed from your source data are flagged specifically with the attribute name and reason — never left blank silently or filled with placeholder values that would fail platform review or misrepresent your product to buyers.

Upload error reports from Amazon, eBay, Shopify and other platforms are reviewed and corrected as part of every batch cycle. Your team should not need to investigate and diagnose field-level upload failures — that is part of the service.

🔒 NDA Protected Before files are shared

🌐 GDPR Aware EU data handling

✅ 99.9% Accuracy Multi-level QA checks

🛡️ Secure Transfer Encrypted file access

📋 Exception Log Every delivery

👥 Project Team Only Controlled access

Client Feedback

What clients say about our product matching work

★★★★★

We needed 4,200 Amazon listings built across six categories from our supplier spreadsheets. The pilot confirmed the attribute mapping before we committed the full catalog. Final flat file upload error rate was 0.8% — far better than anything we had managed internally. SDES handled error corrections from Amazon's processing report without us needing to explain what went wrong.

Catalog Operations Manager Multi-Category Amazon Seller, USA

★★★★★

Our Shopify store launched with 2,400 apparel products in correct collections, variants properly configured and metafields populated. Delivery was three days ahead of our launch deadline. We now use SDES for ongoing monthly product additions and seasonal catalog updates.

Head of eCommerce Fashion Brand, UK

★★★★★

Our Magento catalog had five years of inconsistent attribute data across 8,000 products. SDES standardised the attribute vocabulary and delivered a clean import file with a documented change log. Our layered navigation started returning correct results the same week as the import.

Product Manager Industrial Supply Distributor, Australia

FAQs

Questions clients ask before outsourcing product data matching

How do you handle uncertain matches to avoid incorrectly merging distinct products?

Uncertain matches are separated into a flagged review list with both records and the matching evidence presented. Your catalog team makes the final decision on uncertain cases.

Can you match products with no standard identifiers like GTIN or MPN?

Yes. Name-and-attribute matching provides a workable alternative with appropriate confidence scoring when identifiers are unavailable.

Can you match across three or more catalog sources simultaneously?

Yes. Multi-source matching with consolidated output is supported.

What output format are matched results delivered in?

Excel with matched product pairs, source record references, match type and confidence score. Confirmed merge files in your system import format.

Can you match large catalogs with hundreds of thousands of products?

Yes. Large catalog matching is processed in structured batches.

How long does a typical product matching project take?

Depends on catalog size, number of sources and identifier availability. After reviewing your samples, we provide a specific timeline.

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