India-Based Data Entry Outsourcing Support Serving USA, Canada, UK, Australia, Europe, New Zealand, Singapore, UAE
Product Data Cleansing Services

Professional Product Data Cleansing Services for Catalog Quality, Completeness and Attribute Accuracy

We provide expert product data cleansing outsourcing solutions for eCommerce businesses, retailers, distributors and marketplace sellers whose product catalogs have accumulated quality issues — incomplete attributes, inconsistent naming, duplicate products, outdated specifications, incorrectly mapped categories and attribute values that do not conform to platform or system requirements. Poor product data quality directly reduces catalog performance: products with incomplete attributes are excluded from filtered search results; duplicate listings split reviews and ranking signals; inconsistent naming prevents reliable catalog search and cross-platform matching.

Our professional offshore product data cleanup team in India performs systematic catalog audits to identify quality issues by type and frequency, then applies targeted cleaning — standardising values, completing missing fields, removing duplicates, correcting category assignments and enriching thin product data from available sources. Every cleaning step is documented so your team can verify what was changed and why.

Both one-time catalog quality improvement projects and ongoing monthly maintenance arrangements are available. The most cost-effective long-term approach combines an initial comprehensive cleanup with regular maintenance cycles that prevent quality from deteriorating back to the state that made the cleanup necessary.

5000+ Completed Projects
90% Returning Clients
16+ Years Experience
45+ Countries Served
50+ Professionals Team
Services We Offer

Expert product catalog cleanup solutions that restore quality, completeness and searchability

  • Catalog audit and quality issue profiling
  • Duplicate product identification and resolution
  • Attribute value standardisation and normalisation
  • Missing required attribute completion
  • Category reclassification where incorrect
  • Ongoing catalog quality maintenance cycles

Product catalog quality problems follow predictable patterns: attributes entered with multiple spellings for the same value (red / Red / RED / scarlet); numeric attributes with inconsistent unit notation; titles with irregular capitalisation and formatting; category assignments that were made quickly without checking the taxonomy; duplicate products from different import sources or supplier feeds; and attributes left blank because the source data did not provide them. Each of these problems has a specific solution, and a professional product data cleansing outsourcing team applies those solutions at the scale your catalog requires.

We begin every cleansing project with a catalog audit — reviewing your product file against quality criteria and producing a report showing issue types, frequencies and distribution before any cleaning is committed. This gives you a clear picture of the actual problem before deciding on the scope and priority of correction work.

Our India-based product data cleansing team has worked across Amazon, eBay, Shopify, Magento, WooCommerce, Flipkart and custom platform catalog formats — understanding the platform-specific attribute requirements and data standards that must be met for catalog performance and compliance.

Product Data Cleansing Services We Offer

We clean product catalogs by correcting inconsistent, incomplete, duplicate and poorly formatted product information before it affects sales, search and operations.

01

Catalog audit and issue identification

We review product catalogs to identify missing titles, broken descriptions, duplicate SKUs, inconsistent brand names, incomplete attributes, wrong categories, invalid image links, formatting problems and mismatched units. The audit can be performed on supplier sheets, marketplace exports, ecommerce platform files or PIM exports. You receive a practical issue map rather than a vague list of data problems.

02

Product title and description cleanup

We standardise product titles, short descriptions, long descriptions, bullet points and feature text based on your naming rules and product style guide. This includes removing repeated words, fixing spacing, correcting obvious formatting issues and making title structures consistent across similar items. We do not invent specifications; missing information is marked for review or enrichment.

03

Attribute, specification and unit standardisation

We clean product attributes such as size, colour, material, capacity, dimensions, weight, model number, compatibility, pack count and unit of measure. Values can be standardised from mixed formats into consistent dropdown-ready fields. For example, dimensions, abbreviations, colour names and pack quantities can be normalised so filters and comparisons work correctly on your store.

04

Duplicate and variant cleanup

We identify duplicate products, duplicate SKUs, repeated supplier items, wrongly split variants and variant groups that need restructuring. Matching checks can include SKU, UPC, MPN, brand, title similarity, image reference and attribute combinations. Suspected duplicates are flagged with confidence notes so your team can approve merge, keep or delete decisions.

05

Marketplace and platform file cleansing

We clean product import files for Shopify, WooCommerce, Magento, Amazon, eBay, Walmart and other platforms by fixing required fields, option values, category paths, HTML issues, image links and format inconsistencies. Cleaner import files reduce failed uploads, listing suppression and post-import cleanup. Platform-specific rules are confirmed before changes are made.

Process, Quality and Security

How we cleanse product data without damaging catalog meaning

1. Catalog rules review

We confirm required fields, naming standards, attribute formats, category rules, duplicate policy and platform requirements before cleansing.

2. Secure file setup

Supplier files, platform exports and catalog documents are transferred under NDA through the approved method.

3. Pilot cleansing batch

A sample group is cleaned first so you can approve title format, attribute treatment, duplicate logic and exception categories.

4. Structured cleanup

Products are cleaned by supplier, category, brand, platform, SKU range or issue type so changes remain traceable.

5. Catalog QA review

Cleaned titles, attributes, categories, variants, SKUs, image links and required fields are checked before delivery.

6. Change and exception log

Duplicates, missing specifications, uncertain variants, source conflicts and fields needing product-team input are documented separately.

📂 Source formats we accept

  • Product catalog exports (Excel, CSV, XML)
  • Platform product data exports
  • Supplier feed files for cross-reference
  • Category tree and attribute documentation
  • Current quality issue lists or concerns

📤 Delivery formats

  • Cleaned product catalog files
  • Catalog audit report with issue inventory
  • Standardisation rule documentation
  • Duplicate resolution files with merge decisions
  • Monthly quality metrics reports

Product data cleansing must improve consistency without changing the product's real meaning. We clean structure, format and obvious inconsistencies while keeping source-backed facts intact.

Supplier price lists, marketplace exports, catalog files and internal SKU data are handled confidentially under NDA with access limited to the assigned catalog team.

We do not invent missing specifications, compatibility details or product claims. Unknown values are marked clearly so your merchandising or supplier team can provide the correct information.

🧹 Catalog Cleanup Issues fixed
🏷️ Attributes Values standardised
🔁 Duplicates Candidates flagged
📦 Variants Groups checked
🔐 Catalog Secure NDA handled
⚠️ Missing Specs Not guessed

Need your product catalog audited and cleaned for quality and completeness?

Share a sample of your product catalog. We run a free audit on the sample and report back on quality issue types and frequencies before you decide on the full project scope.

Get a Free Catalog Audit Sample →

Free catalog audit returned within 24-48 hours.

Why Outsource to SDES?

Why eCommerce businesses outsource product catalog work to SDES India

Why outsource to SDES
  • 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.

Start Your Project →
Industries We Support

Expert product data quality solutions for catalog-dependent businesses

eCommerce Retailers

eCommerce Retailers

Catalog quality improvement for direct-to-consumer stores improving search performance, conversion rate and marketplace compliance.

Marketplace Sellers

Marketplace Sellers

Attribute quality improvement for Amazon, eBay, Walmart and marketplace catalogs with compliance-specific cleanup focus.

Manufacturers

Manufacturers

Product master data quality for PIM systems, product data sheets and retail partner data feeds.

Distributors

Distributors

Multi-brand catalog quality management, duplicate resolution from multiple supplier feeds and attribute standardisation across product ranges.

Commerce Agencies

Commerce Agencies

Catalog quality improvement services for clients preparing for platform migrations, marketplace launches and catalog expansion.

Brand Owners

Brand Owners

Brand catalog data quality management and product master data standards enforcement across retail channels.

Client Feedback

What clients say about our product data cleansing 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.

Zoe M. — 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.

Emily L. — 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.

Emily K. — Product Manager Industrial Supply Distributor, Australia
FAQs

Questions clients ask before outsourcing product data cleansing

How do I know how bad my catalog quality problem actually is?

The free catalog audit on your sample answers this question specifically — showing quality issue types, frequencies and distribution before you commit to any cleaning scope.

Can you standardise attribute values across a large catalog of tens of thousands of products?

Yes. Large catalog standardisation is processed in batches with consistency verification throughout.

How do you decide which duplicate is the master record?

Master record selection follows rules you define — typically the record with the most complete attribute data, the longest history or the primary platform listing. Ambiguous cases are flagged.

Can you enrich missing attributes from external sources?

Yes. We research missing attributes from supplier websites, manufacturer datasheets, similar catalog records and reference databases where the data is publicly available.

Can you maintain catalog quality on an ongoing basis?

Yes. Monthly or quarterly maintenance cycles prevent quality deterioration after the initial cleanup.

What format are the cleaned catalog files delivered in?

Excel, CSV, XML or your platform's import format — confirmed before production begins.

📩 Get a Free Catalog Audit Sample
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