MoProcessing
Custom data cleaning and processing services to meet specific analytical needs. Transform raw e-commerce 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.
Global platform data processing
30+ major platforms across China and international markets
Ingredients, certifications, origin, model numbers
6 Key Data Processing Services
Comprehensive data transformation services tailored to your analytical requirements
- Custom Category Definitions
- Define custom market segments - create hybrid categories, filter irrelevant products, apply brand/price/keyword rules
- Unified Product SPU
- Consolidate SKU/SPU across platforms, eliminate naming inconsistencies, auto-map product variations
- Custom Attribute Cleaning
- Extract and standardize composition, certifications, origin, net content, and model numbers with AI
- Data Quality Enhancement
- Remove duplicates, standardize formats, fill gaps, cross-reference sources for enterprise reliability
- Cross-Platform Harmonization
- Unify 10+ platforms across 20+ countries - reconcile brands, match identifiers, standardize taxonomies
- AI-Powered Processing
- Machine learning for attribute inference, product matching, and continuous quality improvement
Data Processing Workflow
Our proven four-step methodology transforms messy e-commerce data into strategic intelligence
Data Collection
Extract raw data from 10+ platforms across 20+ countries with comprehensive coverage of product details, pricing, reviews, and marketplace dynamics.
Cleaning & Validation
Remove duplicates, standardize formats, fill data gaps, and validate accuracy through multi-source cross-referencing and quality assurance.
Custom Processing
Apply your custom category rules, consolidate product hierarchies, extract specialized attributes, and harmonize cross-platform variations.
Delivery & Integration
Deliver analysis-ready data via API, CSV, JSON, or Excel. Integrate seamlessly with your BI systems, data warehouses, or analytical workflows.
Deep Dive: Custom Category Definitions
Strategic market segmentation beyond platform defaults
E-Commerce Categories Don't Meet Internal Analysis Needs
Platform categories are designed for consumer browsing, not strategic analysis. MoProcessing creates custom market segments that align with your business objectives.
Problem:
E-commerce platform categories don't meet internal analysis needs - too broad for strategic insights, mixing irrelevant products
Our Solution:
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Define custom market segments beyond standard categories
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Remove irrelevant products from category analysis
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Create hybrid categories (e.g., 'Premium Organic Snacks')
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Apply custom rules (brand + price + keywords)
Example Use Case:
Define"Functional Beverages for Fitness" as: Category: Beverages | Keywords:"protein","BCAA","electrolyte","sports" | Price: >¥10 | Exclude: Energy drinks with high sugar
Product Names Are Inconsistent Across Platforms
The same product appears with different names, languages, and formats across platforms. MoProcessing consolidates variations into unified product hierarchies.
Problem:
Product SPU and product line names are unclear, consuming significant manual processing time and creating analysis errors
Our Solution:
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Identify and consolidate SKU/SPU/product lines across platforms
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Unify product naming across major e-commerce platforms
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Create product hierarchies (Brand → Product Line → SKU)
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Map variations (flavor, size, package type) to parent products
Example Consolidation:
- • Platform A:"Brand X Protein Bar Chocolate 60g"
- • Platform B:"Brand X 巧克力蛋白棒 60克"
- • Platform C:"Brand X Chocolate Flavor Protein Bar"
- → Single SPU:"Brand X Protein Bar - Chocolate - 60g"
Custom Attribute Extraction Capabilities
Extract and standardize critical product attributes from unstructured data
Standard Attributes We Extract
- Composition & Ingredients
- Complete ingredient lists, allergen information, nutritional claims, and formulation details
- Net Content & Packaging
- Weight, volume, count with standardized units (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 certifications
- Origin & Manufacturing
- Country of origin, manufacturing location, import/export status
- Product Classifications
- Age groups, target demographics, usage occasions, seasonal tags
How We Process Attributes
Parse Unstructured Text
Extract attributes from product titles, descriptions, and detail pages
Normalize Values
Standardize units, formats, and naming conventions across platforms
Validate & Enrich
Cross-reference multiple sources and fill gaps using AI inference
Quality Assurance
Human verification for critical fields with rigorous quality control
Quality Standards:
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Multi-source validation for data reliability
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Human verification on critical business fields
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Comprehensive completeness checks
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Fast turnaround with quality assurance
Enterprise-Grade Data Quality Enhancement
Comprehensive data validation and cleansing ensures your analysis is built on accurate, reliable data. Our systematic quality control processes catch errors before they impact your decisions.
Remove Noise
Duplicate entries, test products, invalid data, and platform artifacts
Standardize Formats
Dates, units, currency, and data types across all records
Fill Data Gaps
Missing prices, discontinued products, incomplete records using AI inference
Validate Accuracy
Cross-reference multiple sources for reliability and consistency
Quality Assurance:
Multi-source cross-validation, standardized formatting across all data fields, and comprehensive quality checks ensure enterprise-grade data reliability for strategic decision-making.
Cross-Platform Data Harmonization
Unify data across 30+ global e-commerce platforms. Process and harmonize data from China's major platforms, international marketplaces, Southeast Asian platforms, social commerce channels, and other global e-commerce ecosystems.
Unify Brand Names
Reconcile"宝洁" →"P&G" across platforms and languages
Match Product Identifiers
EAN, UPC, internal codes across global platforms
Reconcile Pricing Differences
Regular vs. promotional pricing harmonization across currencies
Align Category Taxonomies
Standardize category structures across platform ecosystems
Global Coverage:
20+ countries, 30+ major e-commerce platforms covering China, North America, Europe, Southeast Asia, and other international markets
Ideal For
Who benefits most from MoProcessing custom data services
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100+ SKUs across multiple platforms
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Frequent product launches and variations
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Need for clean, consolidated product master data
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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
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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
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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
Complete Your Enterprise Solution
Combine MoProcessing with other enterprise services for end-to-end FMCG intelligence
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
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
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.