Clean, Analysis-Ready Data From 30+ Messy E-Commerce Platforms
E-commerce data cleaning and processing services tailored to your analytical needs. Transform raw platform data into clean, analysis-ready insights across global markets.
Clean, Structured Data Ready for Strategic Analysis
E-commerce platform data comes messy, inconsistent, and incomplete. MoProcessing transforms raw data into analysis-ready insights with custom category definitions, unified product hierarchies, and specialized attribute extraction tailored to your business needs.
6 Key Data Processing Services
Comprehensive data transformation services tailored to your analytical requirements
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Custom Category Definitions Define custom market segments - create hybrid categories, filter irrelevant products, apply brand/price/keyword rules
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Unified Product SPU Consolidate SKU/SPU across platforms, eliminate naming inconsistencies, auto-map product variations
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Custom Attribute Cleaning Extract and standardize composition, certifications, origin, net content, and model numbers with AI
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Data Quality Enhancement Remove duplicates, standardize formats, fill gaps, cross-reference sources for enterprise reliability
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Cross-Platform Harmonization Unify 10+ platforms across 20+ countries - reconcile brands, match identifiers, standardize taxonomies
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AI-Powered Processing Machine learning for attribute inference, product matching, and continuous quality improvement
Custom Categories & Attribute Extraction
Custom Category Definitions
Define custom market segments, remove irrelevant products, create hybrid categories, and apply brand/price/keyword rules for strategic analysis.
Example: "Functional Beverages for Fitness" filtered by keywords (protein, BCAA, electrolyte), price (>¥10), excluding high-sugar energy drinks.
AI Attribute Extraction
Extract composition, certifications, origin, net content (500毫升 → 500ml), and product identifiers with multi-source validation and human QA.
Process: Parse unstructured text, normalize values, cross-reference sources, then human verification on critical fields.
Built for Teams That Demand Clean Data
From enterprise SKU portfolios to custom market segmentation — MoProcessing delivers analysis-ready data for teams that can't afford messy inputs.
Large SKU Portfolios
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100+ SKUs across multiple platforms
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Frequent product launches and variations
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Clean, consolidated product master data
Specialized Attribute Needs
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R&D teams analyzing ingredient trends
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Regulatory teams tracking certifications
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Procurement teams monitoring suppliers
Custom Market Segmentation
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Custom category definitions for strategic planning
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Niche market analysis (e.g., 'Vegan Beauty for Gen Z')
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Regional market segmentation requirements
Analysis-Ready Data Teams
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BI teams needing structured data pipelines
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Data science teams building predictive models
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Executive teams expecting reliable strategic insights
Enterprises We've Worked With
Helping leading APAC brands across FMCG, retail, and e-commerce
Data Processing Results
See how leading brands transform their market intelligence with Moojing.
Genki Forest
Data-driven competitive benchmarking across Taobao, JD, and Douyin
Yanjin Puzi
40% time reduction in market research with Analytics+
COFCO Group
How a Fortune 500 enterprise achieved 42% QoQ growth with market intelligence
Complete Your Enterprise Solution
Combine MoProcessing with other enterprise services for end-to-end FMCG intelligence
MoInsights+
Enhanced Platform Access with API Integration
Programmatic access to cleaned and processed data via RESTful API. Perfect complement to MoProcessing for automated data retrieval.
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RESTful API for custom integrations
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White-label data exports (CSV, JSON, XML, Excel)
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Dedicated account manager & technical support SLA
MoConsult
Custom Reports & FMCG Consultancy
Expert consultation and custom market research reports. Turn cleaned data into strategic recommendations with 10+ years of FMCG expertise.
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Custom market reports (competitive analysis, trends, benchmarks)
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Expert consultation (product launch, go-to-market strategy)
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Training workshops for internal teams
Frequently Asked Questions
Common questions about MoProcessing data services
Platform categories are designed for consumer browsing, not strategic analysis. MoProcessing creates custom market segments that align with your business objectives:
- Define custom segments beyond standard platform categories
- Remove irrelevant products from category analysis
- Create hybrid categories (e.g., "Premium Organic Snacks")
- Apply custom rules combining brand, price range, and keyword filters
Example: Define "Functional Beverages for Fitness" as: Category: Beverages | Keywords: "protein", "BCAA", "electrolyte", "sports" | Price: >¥10 | Exclude: Energy drinks with high sugar
We also consolidate product naming across platforms — the same product often appears as "Brand X Protein Bar Chocolate 60g" on one platform, "Brand X 巧克力蛋白棒 60克" on another, and "Brand X Chocolate Flavor Protein Bar" on a third. MoProcessing unifies these into a single SPU with consistent hierarchies (Brand → Product Line → SKU).
MoProcessing uses AI-powered extraction to standardize critical product attributes from unstructured data:
- Composition & Ingredients — complete ingredient lists, allergen information, nutritional claims, formulation details
- Net Content & Packaging — weight, volume, count with standardized units (e.g., 500毫升 → 500ml)
- Product Identifiers — model numbers, SKU codes, barcodes (EAN/UPC), article numbers
- Certifications & Claims — organic, non-GMO, halal, kosher, vegan, cruelty-free
- Origin & Manufacturing — country of origin, manufacturing location, import/export status
- Product Classifications — age groups, target demographics, usage occasions, seasonal tags
Our 4-step process: Parse unstructured text → Normalize values across platforms → Cross-reference and validate with multiple sources → Human verification on critical business fields.
MoProcessing unifies data across 30+ global e-commerce platforms in 20+ countries. Key harmonization tasks include:
- Unify brand names across languages (e.g., 宝洁 → P&G)
- Match product identifiers (EAN, UPC, internal codes) across platforms
- Reconcile pricing — regular vs. promotional, currency standardization
- Align category taxonomies across different platform ecosystems
Coverage spans China's major marketplaces, international platforms (North America, Europe, Middle East, Latin America), Southeast Asia (6 markets), and social commerce channels.
Every dataset goes through comprehensive quality assurance:
- Multi-source cross-validation for data reliability
- Human verification on critical business fields
- Standardized formatting across all data fields
- Comprehensive completeness checks
- Duplicate removal — test products, invalid data, and platform artifacts
- Gap filling — missing prices, discontinued products, and incomplete records using AI inference
Transform Your FMCG Data into Strategic Insights
See how MoProcessing cleans and structures your e-commerce data for analysis-ready insights. Talk to our data experts about your specific requirements.