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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5000+ Completed Projects

90% Returning Clients

16+ Years Experience

45+ Countries Served

50+ Professionals Team

Services We Offer

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.

Product Data Matching Services We Offer

We match products across suppliers, marketplaces, catalogs and systems using identifiers, attributes and review logic so duplicates and equivalent items can be handled correctly.

SKU, UPC, EAN and GTIN matching

We match product records using structured identifiers such as SKU, UPC, EAN, GTIN, ISBN, MPN, ASIN and supplier item numbers. Identifier matching is the fastest route when codes are complete and reliable, but many catalogs contain missing, inconsistent or reused values. We verify matches against supporting fields such as brand, title, pack size, dimensions and model number before marking records as confirmed.

Supplier catalog to master catalog matching

We compare supplier files against your master catalog to identify existing items, new items, duplicate submissions and records that need enrichment. Supplier titles and attributes often differ from your internal naming standards, so matching must consider brand, model, size, material, unit, image and compatibility details. We provide confirmed matches, possible matches and unmatched products separately.

Marketplace product matching

We help match your products against marketplace listings on Amazon, eBay, Walmart and other platforms using available identifiers, titles, attributes, images and listing references. This supports marketplace onboarding, price comparison, competitive research and catalog alignment. Potential matches are labelled by confidence so your team can decide whether to map, review or reject them.

Variant and bundle matching

We identify relationships between parent products, variants, bundles, multipacks and related items. A product may be the same model but differ by colour, size, pack quantity, voltage, region or accessory inclusion. We review the fields that define a true match for your category and flag near-matches that should not be merged automatically.

Duplicate detection and match review sheets

We prepare match review sheets showing confirmed duplicates, likely duplicates, possible alternatives and no-match records. Fields such as source ID, target ID, confidence note, reason for match and fields compared can be included. This gives your catalog team a reviewable decision file instead of an unverified automated match output.

Process, Quality and Security

How we match product records with confidence control

1. Match rule definition

We confirm which identifiers and attributes prove a match for your catalog and which differences must prevent automatic matching.

2. Source file alignment

Supplier, marketplace and master catalog fields are aligned so item numbers, titles, brands, attributes and images can be compared consistently.

3. Pilot matching set

A small sample is matched first so you can approve confidence labels, duplicate logic and treatment of near-matches.

4. Layered matching

Records are matched using identifiers first, then brand/model/attribute combinations, then manual review for unclear cases where included in scope.

5. QA of confirmed matches

Confirmed matches are checked for wrong pack size, variant confusion, brand conflict, model mismatch and identifier reuse.

6. Match report delivery

Confirmed, possible, rejected and unmatched items are delivered separately with reason notes for reviewable decision-making.

📂 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

Product matching quality depends on avoiding false positives. A wrong merge can damage inventory, pricing, listings and customer experience more than leaving a product unmatched.

Catalog and supplier data are handled confidentially because they may include pricing, internal SKUs, product strategy and supplier relationships.

We use confidence levels and reason notes so your team can see why a product was matched instead of receiving a black-box output. Ambiguous matches remain separate for review.

🔢 Identifiers SKU/GTIN used

📦 Supplier Files Master matched

🛒 Marketplace Listings compared

🔁 Duplicates Confidence noted

✅ Match QA False matches avoided

⚠️ Near Matches Reviewed separately

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.

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.

Aaron T. — 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.

Jacob S. — 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.

Archer R. — 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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