Product Mapping Services

Professional Product Mapping Services for Attribute Alignment, Field Transformation and Catalog Migration

We provide expert product mapping outsourcing solutions for eCommerce businesses, retailers and platforms that need product attributes from one system or source format correctly translated into the field definitions, controlled vocabularies and data structures required by a different target system. Product mapping is the structured work that makes data from one source usable in a different destination — without it, data transfers, platform migrations and catalog integrations produce incorrectly populated fields, missing required data and platform validation errors.

Our professional offshore product mapping team in India builds attribute mapping documents, executes field-level transformation work, applies controlled vocabulary alignment and validates mapped output against the target system specifications before delivery. A mapping document that looks correct on paper frequently reveals edge cases, exception values and field conflicts that only become visible when applied to actual product data — our process discovers and resolves these during mapping development rather than during production import.

Both one-time catalog migration mapping projects and ongoing product data transformation arrangements for regular data feeds are supported.

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✓ Field-to-Field Attribute Mapping ✓ Controlled Vocabulary Alignment ✓ Multi-Platform Data Transformation ✓ Category Hierarchy Mapping ✓ Migration Support Documentation

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 mapping solutions that enable accurate data flow between catalogs, platforms and systems

Source and target field inventory and comparison
Attribute value crosswalk and vocabulary alignment
Category path mapping and hierarchy translation
Exception value identification and resolution
Validated mapping document and transformation file
Test import batch before full production

Product mapping problems manifest as data quality issues in the target system — fields populated with wrong values, mandatory fields left blank because the source had no equivalent, category assignments that do not match the target taxonomy and attribute options rejected because the source values do not match the target controlled vocabulary. These problems are cheaper to solve during mapping design than after a catalog migration has been completed.

We approach every mapping project in two phases: mapping document development (building the field-to-field mapping with value crosswalk and exception rules) and mapping application (transforming actual product data using the confirmed mapping). Both phases include review checkpoints with your catalog or product team before production proceeds.

Our India-based product mapping team has supported catalog migrations between all major eCommerce platforms and custom PIM systems, supplier feed integrations and multi-channel content syndication workflows.

Mapping Services

Expert Product Mapping Solutions for Every Platform and Data Transformation Need

Each mapping project is designed around your specific source and target systems with documented transformation rules and validated test outputs.

Platform migration attribute mapping

We build and execute attribute mapping for catalog migrations between eCommerce platforms — Magento to Shopify, WooCommerce to BigCommerce, Shopify Plus to Salesforce Commerce Cloud, legacy custom platforms to modern systems and other platform transition combinations. Migration mapping covers field-by-field source-to-target correspondence documentation, value crosswalk tables for attributes with different controlled vocabularies between platforms, category hierarchy translation from source taxonomy to target taxonomy and handling of fields that exist in the source but have no direct target equivalent. The mapping document is reviewed with your technical team before transformation is applied to the full catalog, and a test batch import is validated in the target system before the complete catalog is processed.

Supplier feed field mapping

We map incoming supplier product data feeds — in any format — to your internal product management system or catalog platform field structure. Supplier feeds frequently use field naming, attribute vocabularies and value formats that do not directly correspond to platform or PIM field requirements. We document the field mapping for each supplier, handle supplier-specific value normalisation for attributes like colour, size and material and build the transformation that converts supplier feed output into your catalog format. For recurring supplier feeds, the mapping is maintained and updated when suppliers change their feed format or add new product attributes.

Category hierarchy mapping and alignment

We map product categories from a source taxonomy to a target taxonomy — translating category paths that exist in one system into the corresponding paths in the destination. Category mapping is particularly important during platform migrations, where a source category tree with different structure, naming or depth than the target taxonomy requires systematic translation. We document the category crosswalk for your catalog team to review, handle one-to-many situations (a single source category that needs to map to multiple target subcategories) and flag source categories with no clear target equivalent for your team's decision.

Google Shopping feed and PLA mapping

We map internal product data fields to Google Product Listing Ad (PLA) required and recommended attributes — including google_product_category, product_type, condition, brand, GTIN, MPN, item_group_id for variations, shipping and tax attributes and all optional fields that improve Shopping campaign performance. Google Shopping mapping requires understanding which internal field values are compatible with Google's attribute requirements and where transformation or enrichment is needed to meet Google's data quality standards for approved product submission.

Cross-channel and multi-platform content mapping

We build and maintain content mapping frameworks for brands and retailers distributing product content across multiple retail and marketplace channels — mapping from a central PIM or master catalog to each channel's specific format, attribute vocabulary and field requirements. Multi-channel content mapping reduces the manual work of reformatting the same product data for different channel requirements and ensures consistency between channels.

Inputs and Output

We work with the files you already have

📂 Source formats we accept

Source product catalog file with field documentation
Target system field specification documentation
Sample of each product type or category
Any existing mapping notes or partial mappings
Test import environment access for validation

📤 Delivery formats

Documented field mapping and value crosswalk file
Transformed and mapped product catalog file
Category hierarchy translation document
Test import validation report
Exception and unmapped value notes

How It Works

How we manage product mapping 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 mapped accurately between your source and target systems?

Share your source file and target system field documentation. We build a free sample mapping for a product subset so you can review field correspondence and transformation accuracy before full project commitment.

Get a Free Mapping Sample →

Free sample mapping 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

Professional product mapping for eCommerce and multi-channel businesses

eCommerce Platforms

Platform migration mapping, attribute transformation and category alignment for platform switches and upgrades.

Manufacturers

Supplier-to-channel attribute mapping and product data transformation for multi-retailer distribution.

Distributors

Supplier feed mapping, catalog consolidation and multi-channel data transformation for wholesale distributors.

Commerce Agencies

Catalog migration mapping, platform integration field mapping and feed configuration for agency client projects.

Marketplace Sellers

Multi-marketplace content mapping for consistent product data across Amazon, eBay, Walmart and brand channels.

Retail Chains

PIM-to-channel content mapping, category alignment and attribute transformation for multi-channel retail operations.

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 mapping 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 mapping

Can you map between any source and target platform?

Yes. Mapping is possible between any source and target combination. The mapping document is platform-agnostic — field names, value vocabularies and category structures are the inputs, not the specific platforms.

How do you handle attributes that exist in the source but not the target?

Source fields with no target equivalent are documented in the mapping with a recommended handling — ignore, store in a custom field, merge into another field or flag for manual decision.

Can you build the transformation file as well as the mapping document?

Yes. Applying the mapping to actual product data and producing the transformed output file is included in the full mapping engagement.

Can you validate the mapped output against the target system?

Yes. Test import batch validation is included for platform migrations where system access is available.

Can you handle large catalogs with hundreds of attribute fields?

Yes. Complex attribute structures are handled systematically in the mapping document.

Can you maintain the mapping for ongoing supplier feed updates?

Yes. Ongoing mapping maintenance for recurring feeds is supported.

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