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MoProcessing

Clean, Analysis-Ready Data From Messy E-Commerce Platforms

Turn messy platform data into clean, analysis-ready insight.

MoProcessing data cleaning services
30+
Marketplaces Harmonized
20+
Countries
4 -Step
QA Process
AI + Human
Verification
Data Quality

Why does e-commerce data need processing?

Because every marketplace names brands, categories and attributes its own way, so raw data does not add up across platforms. MoProcessing turns it into analysis-ready datasets, with custom category definitions, unified product hierarchies and attribute extraction.

Since 2016
China E-Commerce History
SKU-level
Product Hierarchies
Custom
Attribute Extraction
Processing Services

What does MoProcessing do to your data?

Six things: custom category definitions, a unified product SPU, custom attribute cleaning, data quality enhancement, cross-platform harmonisation and AI-powered processing.

  • 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 30+ marketplaces across 20+ countries - reconcile brands, match identifiers, standardize taxonomies
  • AI-Powered Processing Machine learning for attribute inference, product matching, and ongoing quality improvement
Data processing server infrastructure powering MoProcessing's data pipeline
How It Works

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.

Ideal Clients

Who is MoProcessing for?

Teams with large SKU portfolios, specialised attribute needs or custom market segments, and analysts who need data that is ready to use.

Organized warehouse shelving with consumer products

Large SKU Portfolios

  • 100+ SKUs across multiple platforms
  • Frequent product launches and variations
  • Clean, consolidated product master data
Laboratory analysis equipment with sample containers

Specialized Attribute Needs

  • R&D teams analyzing ingredient trends
  • Regulatory teams overseeing certifications
  • Procurement teams overseeing supplier certifications
Data visualization with market segmentation chart

Custom Market Segmentation

  • Custom category definitions for strategic planning
  • Niche market analysis (e.g., 'Vegan Beauty for Gen Z')
  • Regional market segmentation requirements
Data pipeline visualization with analytics nodes

Analysis-Ready Data Teams

  • BI teams needing structured data pipelines
  • Data science teams building predictive models
  • Executive teams expecting reliable strategic insights

Enterprises We've Worked With

Helping leading APAC brands across FMCG, retail, and e-commerce

Trusted by 500+ Enterprises Across FMCG, Pharma & Retail

“By delivering integrated analytics tools across the entire consumer journey, Moojing helps us maintain a sharp sense for market demand and dynamics, and explore more growth opportunities.”

Jinsong Han

Jinsong Han

GTM Director, iFLYTEK

“Consumer electronics products are evolving faster than ever, with features becoming increasingly refined and innovative. Brands need to conduct accurate, objective market research and user-need analysis ahead of time to drive product iteration and adapt channel strategies. Moojing is an indispensable analytical tool for this.”

Kathy

Kathy

Head of Business Analysis, NetEase Youdao

“From market sizing to product analysis, consumer scenarios to audience profiling, Moojing uses precise and comprehensive data to help us identify future trends in consumer goods and stay ahead of the market.”

Renjiao Wang

Renjiao Wang

Consumer Industry Analyst, Keep

Related Services

What does MoProcessing work with?

MoInsights+ delivers the processed data by API, and MoConsult turns it into recommendations.

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.

  • RESTful API for custom integrations
  • White-label data exports (CSV, JSON, XML, Excel)
  • 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 FMCG expertise built up since 2014.

  • Custom market reports (competitive analysis, trends, benchmarks)
  • Expert consultation (product launch, go-to-market strategy)
  • Training workshops for internal teams
FAQ

Frequently Asked Questions

Common questions about MoProcessing data services

MoProcessing is Moojing's custom data processing service. It turns raw e-commerce data into analysis-ready datasets, with custom category definitions, one product hierarchy across platforms and standardised product attributes, delivered in the format and schema you specify.

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+ marketplaces 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

MoProcessing can process e-commerce data from any country: Moojing's own data, or data you supply from other markets.

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

Excel, CSV, JSON or XML exports, automated data feeds, or API delivery, on the schema and schedule you specify.

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.

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