eCommerce Product Data Standardization Services
Create a harmonized data feed to improve catalog consistency and discoverability across platforms with product data normalization services
Get In TouchCreate a harmonized data feed to improve catalog consistency and discoverability across platforms with product data normalization services
Get In Touch
25+ Years of Experience
1500+ Employees
CMMI Level 3
ISO Certified for Data Quality & Security
HIPAA Compliant
Unify fragmented product data from every upstream source into a single, master record before inconsistencies compound across your catalog and downstream systems. We aggregate product data from multiple sources, such as manufacturer catalogs, supplier feeds, legacy ERPs, and distributor sheets, and deduplicate, cleanse, and merge all records to fix data errors and inaccuracies.
Resolve mismatched values and inconsistent attribute formats to ensure data uniformity, strengthen on-site filtering, and support channel-compliant listings. We normalize attribute names, values, formats, and terminologies across all SKUs, aligning them to a single agreed schema. From color names ('Navy', 'Dark Blue', 'Indigo') to size formats ('XL', 'Extra Large', 'X-Large'), every attribute is reconciled and standardized.
Fill the attribute gaps that trigger listing rejections or suppressions, poor search visibility, and abandoned carts. We source and append missing attributes, specifications, product descriptions, and supporting content from verified sources such as manufacturer sites, industry databases, and supplier sheets, ensuring enriched product listings that meet platform requirements and provide buyers with the information they need to purchase with confidence.
Reconcile conflicting units of measurement across your catalog so your PIM, ERP, and marketplace systems all operate on a common numeric baseline, without confusion or errors. We convert and normalize units of measurement — weight (kg, lbs, oz), dimensions (cm, inches, mm), volume, and more — into consistent formats aligned with your target market or platform requirement.
Align every product title and description to consistent naming conventions, content-style guidelines, and platform requirements to ensure compliance, better search visibility, and improved rankings. We apply consistent formatting rules to product titles and descriptions, eliminating capitalization inconsistencies, abbreviation conflicts, and non-standard formats across all listings.
Resolve identifier conflicts that lead to duplicate product records, reduce inventory accuracy, and disrupt data imports across PIM, ERP, and marketplace platforms. As part of our product data harmonization services, we standardize product IDs, model numbers, GTINs, UPCs, EANs, and catalog codes — resolving duplicates, format inconsistencies, and cross-system mismatches to create a unified identifier framework.
Eliminate category inconsistencies caused by fragmented source data, supplier-specific naming, and mismatched classification logic across systems to support accurate categorization. We map and align your product taxonomy to industry-standard hierarchies (UNSPSC, GS1, ETIM, or custom) or to your platform's specific category structure, ensuring products are correctly classified for search, filtering, and navigation.
Build a unified product data structure that allows you to publish consistently across channels without reworking your catalog for every eCommerce marketplace or platform. Our product data management experts normalize catalog data for simultaneous deployment across multiple sales channels — Amazon, Walmart, eBay, Shopify, Google Shopping — each with its own attribute requirements, field formats, and category structures, to meet platform-specific compliance.
As a leading product data normalization agency, we don't follow a one-size-fits-all approach. Instead, we adapt our approach to the exact standards, structures, and schemas your business, retail partners, and channels require — delivering consistency without disrupting your existing workflows. Our product data normalization services support:
UNSPSC, ECLASS, ETIM, ECCMA, NPI, GPC, HS codes, CPV, and other globally recognized classification and codification systems, as applicable to your product domain.
GS1-style attribute alignment and GDSN-ready structuring for retail data consistency, partner onboarding, and content syndication platform submissions.
Your internal attribute dictionary, controlled vocabularies, naming conventions, unit rules, taxonomy tree, allowed values lists, and variant/parent-child logic.
Amazon BTG/flat file templates, Walmart and eBay category schemas, Google Shopping feed specs, and other platform-specific mandatory attribute structures and formatting rules.
Ensure your product data is accurate, consistent, and error-free to improve its reliability and usability.
Ensure data consistency and compatibility across different systems, platforms, and software, enabling seamless data exchange.
With high-quality data, eCommerce businesses can make informed decisions based on reliable metrics.
Provide customers with a seamless shopping experience by offering clear, accurate, and easily searchable product information.
Efficiently manage your inventory across multiple channels with standardized product data, reducing the risk of stockouts and overstocking.
Product data standardization & normalization support regulatory compliance by ensuring data consistency & alignment with industry regulations for easier reporting and audits.
Accurate and consistent product data can improve your search engine rankings & also make it easier for customers to find your products.
Businesses that leverage high-quality, standardized data can respond more swiftly to market changes and customer needs, gaining an edge over competitors.
Ensure scalability by standardizing and normalizing product data, enabling consistent, accurate, and efficient integration across diverse systems as the business grows.
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We start by parsing the raw data from different sources to identify inconsistencies, errors, and redundancies.
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Once the data is parsed, we classify it based on predefined categories such as product type, brand, and specifications.
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We then apply normalization techniques to organize the data in a uniform structure that aligns with industry standards.
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Any discrepancies or outdated information are identified and corrected through our data cleansing methods.
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We standardize product attributes, measurement units, formats, and terminologies across all entries.
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Finally, we validate the data for accuracy and completeness, eliminating any missing details.
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We deliver your data in your preferred format or integrate it within your product data management system.
For over 25 years, global enterprises, mid-market retailers, and fast-scaling brands have relied on SunTec India for large-scale catalog management and product data normalization services. By combining our domain expertise with agile delivery frameworks, we empower organizations to eliminate data silos and accelerate global market expansion.
As an ISO 27001 certified organization for data security, we adhere to strict NDAs and implement role-based access controls & end-to-end encryption to safeguard sensitive business data.
Combining automation with expert validation to standardize product data at scale with accuracy and greater control. The human-in-the-loop approach helps us handle complex attributes, category nuances, and edge cases that rule-based processing alone can miss.
We aim for near-zero errors with a multi-level quality assurance process — covering attribute validation, format checks, completeness audits, and cross-reference verification, irrespective of the project’s volume and complexity.
Our teams operate across global time zones and are structured to align with your working hours — ensuring faster turnarounds, real-time collaboration, and zero delays in feedback loops.
For every engagement, we assign a dedicated project manager who owns communication, timelines, and quality, providing regular progress updates and serving as your single point of contact throughout.
From manufacturing data standardization and MRO parts normalization to automotive components, electronics, fashion, and home improvement, our category specialists understand the domain-specific attributes, classification standards, and unit logic that apply to your product category.
Whether you need to normalize attribute values for better filtering or standardize data formats for a new system rollout, we’ve got you covered. We eliminate data silos and inconsistencies, ensuring your product information is clean, structured, and ready for high-volume commerce.
Discuss Project RequirementsYes. Beyond one-time eCommerce product data standardization, we offer ongoing managed services where a dedicated team applies your data normalization rules to every new product, supplier feed, or catalog update to maintain data quality at scale.
Yes. We can align your internal taxonomy, attribute framework, and product classification logic with industry-specific schemas such as ETIM, GS1, and UNSPSC based on your catalog structure and business requirements. Our team maps product types, attributes, units, identifiers, and category hierarchies to the required standard while preserving usability across your internal systems.
Yes. Modern AI search engines and Large Language Models (LLMs) require highly structured, "clean" data to provide accurate answers. Our product data harmonization services ensure that your catalog has standardized, accurate information with clean identifiers, complete attributes, and consistent taxonomies, making it easier for AI search engines and LLM models to understand, retrieve, and surface results across search, comparison, and discovery experiences.
Depending on your preference, we either flag the gap for your team to resolve, source the missing information from verified manufacturer sites and industry databases, or apply a defined default value where your business rules permit. Every gap is tracked and reported — nothing is silently skipped.
We handle multi-region catalog standardization by applying region-specific normalization rules — converting units of measurement (metric vs. imperial), date formats, currency displays, and pack sizes to match country-specific requirements. Our workflow includes automated unit conversion, multilingual content management, and glossary-based translation rules to preserve brand consistency and local relevance.
We can deliver standardized product data in the format that best fits your downstream workflow, platform, or internal system. This includes Excel, CSV, XML, JSON, tab-delimited files, database-ready formats, and client-specific templates for marketplaces, eCommerce platforms, PIM/PXM, or ERP environments.
