Clean product data. Accurate catalogs. Better conversions with human-led, AI-augmented eCommerce data cleansing services. From duplicate SKUs to missing attributes— we identify, enrich, and standardize every data point across your catalog.
Request a Custom Proposal
25+ Years of Experience
1500+ Employees
CMMI Level 3
ISO Certified for Data Quality & Security
HIPAA Compliant
We’ve fixed the aftermath of automated-only product catalog cleaning for hundreds of leading brands. Here are some prominent data challenges that automated tools struggle to address without manual intervention or subject matter expertise:
Across hundreds of enterprise engagements, we've handled catalogs ranging from tens of thousands to several million SKUs — spanning multi-supplier data environments, multi-channel deployment requirements, and highly complex category hierarchies. Our eCommerce data cleansing services are designed to address every data quality failure point across your catalog — no matter the source, structure, or scale of the problem.
Identify hidden data quality issues that impact listing performance, compliance, and revenue with our detailed catalog audits. Our eCommerce data management experts critically evaluate every field and attribute to identify issues affecting catalog health and create a detailed roadmap for product data quality management.
Eliminate duplicate records that fragment inventory visibility, product discovery, and search authority with our eCommerce data deduplication services. We identify and merge redundant entries — across variants, parent-child relationships, and multi-source feeds — to create a single, authoritative record for every SKU.
Transform inconsistent product information into uniform, structured data that performs across all channels. Our eCommerce data cleansing experts establish and apply standardization rules that align with marketplace requirements and industry best practices.
Protect brand credibility and prevent marketplace compliance violations through our human-led product data validation services. We apply comprehensive format checks, range checks, and business rule validations to every product record—correcting typos, fixing incorrect values, and resolving inconsistencies to guarantee accuracy at scale.
Transform incomplete product records into enhanced, enriched listings by sourcing and appending accurate, verified information for every missing field. Our product data enrichment experts leverage automated data extraction workflows (scripts and APIs) and human-led validation to deliver a structured, metadata-rich catalog that performs across marketplaces, PIMs, and retail media environments.
Prevent data degradation over time with continuous catalog monitoring and regular quality checks. Our ongoing product data quality management services ensure your catalog remains accurate, up-to-date, and compliant with marketplace/platform requirements as you add more SKUs and expand to new channels.
product records cleansed and optimized for enhanced performance
average data accuracy rate maintained across catalogs
SKUs processed daily with human-validated, AI-powered workflows
faster time-to-market for new product launches with clean, pre-validated data
Our product data cleaning services support all major eCommerce platforms and marketplaces. Whether you operate on a single storefront or sell across a multi-channel ecosystem, we standardize, validate, and format your product data for seamless compatibility with:
01
We analyze your catalog structure, identify critical data quality gaps, and define success metrics aligned with your business objectives.
02
We provide a complementary sample showcasing our work quality and approach. Upon approval, we sign a non-disclosure confidentiality agreement.
03
Through human-validated, AI-augmented workflows, we cleanse, standardize, and enrich product data, and ensure data accuracy via multi-stage quality checks.
04
We securely deliver clean, standardized, validated data in your preferred format to ensure seamless integration across all systems and channels.
05
Through collaborative review cycles, we make any refinements needed. Our team continuously monitors & updates the catalog to sustain integrity and shares regular reports (weekly, biweekly, or monthly) with clear milestones and completion status.
At SunTec India, we've developed a proprietary approach that capitalizes on the strengths of both artificial intelligence and human expertise. By pairing AI-driven automation with specialist-led validation, we ensure higher accuracy rates and faster time-to-market, unattainable through manual processes or AI tools alone.
With 25+ years of experience in product data management and eCommerce operations, we bring expertise and operational maturity that enterprise catalogs demand. Our sustained accuracy rates, client retention, and successful project outcomes reflect the consistency and reliability that make us the leading product data cleaning service provider for global brands.
We accept product data in all standard formats, including CSV, Excel (XLS/XLSX), XML, JSON, TXT, and database exports. We work across various PIM, PXM, and MDM systems like Akeneo, Salsify, and Informatica. Legacy system exports and partially structured data from ERPs like SAP, Oracle, or NetSuite are also supported. Cleansed data is delivered in your preferred format—standardized Excel sheet, platform-specific feed file (Amazon flat files, eBay data exchange), or direct upload to your PIM, eCommerce platform, or marketplace seller account.
Yes. We offer both real-time and ongoing project-based eCommerce data cleansing services and quality management programs tailored to your update frequency. The new data added to your catalog through supplier feeds, bulk imports, or manual entry is validated by our team against established standardization rules, marketplace compliance requirements, and data quality benchmarks. For businesses managing high-volume product catalogs with thousands of SKU changes per week, we deploy dedicated teams with defined SLAs for turnaround and accuracy.
AI‑driven search and recommendation engines depend on clean, structured, attribute‑rich data to showcase relevant results. We standardize attributes, deduplicate SKUs, normalize units, and enrich missing specifications using authoritative sources, so AI models can accurately match queries to products. Our human‑led data validation ensures contextual accuracy and category‑specific logic, while AI‑assisted workflows streamline large-scale data processing.
We work with you to define which data sources are authoritative for specific attribute types — for example, manufacturer catalogs for technical specifications, and an internal PIM system for pricing and availability. When conflicts arise, our specialists evaluate data by cross-referencing with verified sources and apply the most accurate, current value. Where conflicts cannot be resolved through source verification alone, we flag them for your team's review with a clear recommendation.
We track and measure various metrics, including:
For ongoing engagements, we deliver periodic data health reports to help you track data quality over time and clearly observe improvements in business outcomes.
