Consumer Goods
Unite product data across brands, regions, and channels. Alchemia harmonises international product catalogs, enabling global alignment while preserving local market flexibility.
The global product data challenge
Consumer goods companies operate globally with product portfolios spanning dozens of brands and hundreds of markets. Yet each region evolved its own data model, taxonomy, and product master - creating a tower of Babel that prevents global visibility and consistent decision-making.
Disparate regional data models
Europe uses EAN codes, North America uses UPCs, Asia has its own systems. Each region has different product hierarchies, attributes, and naming conventions.
No global alignment on core values
What constitutes a 'bottle' vs a 'can'? Is a 6-pack a product or packaging? Each market defines packaging types, sizes, and variants differently.
Multi-brand complexity
Portfolio companies operate semi-autonomously, each with legacy systems from pre-acquisition days. Same product appears under different SKUs across brands.
Retailer data inconsistency
Each retailer and e-commerce platform provides product data in different formats with varying levels of quality and completeness.
The fragmentation problem
50,000+
SKUs across a typical global consumer goods portfolio
50+
Different 'product masters' in a multinational organization
40-60%
Product data quality issues when launching in new markets
6-12 months
Time to integrate an acquired brand's product catalogue
Core use cases
International Product Data Harmonisation
Global consumer brands need one view of their product portfolio, but each market has evolved its own data model with different attributes, taxonomies, and master data systems.
The Challenge
A global beverage company operates in 40 countries with 8 different ERP systems. Product 'Juice Box 200ml Multi-Pack' appears as 'JB-200-6PK' in Europe, 'JBMP200' in North America, and '果汁盒200' in China. Each region defines packaging types differently: what Europe calls a '6-pack' is a 'multi-serve pack' in Asia. No global view exists of which products are sold where.
The Alchemia Solution
Alchemia creates a unified global product model while preserving regional flexibility. Schema fusion identifies that all three SKUs represent the same product despite different naming. The knowledge graph maps regional taxonomy to global standards: '6-pack' and 'multi-serve pack' both map to 'multi-unit packaging'. Golden profiles provide the authoritative global product record while maintaining regional attributes.
Key Benefits
Single global product catalog with regional variations visible
Automated mapping of regional taxonomies to global standards
90%+ product matching accuracy across disparate systems
New market launches in weeks instead of months
Product Matching & Product Grouping
The same product appears differently across retailers, e-commerce platforms, distributors, and internal systems. Variations in naming, format, and metadata make it nearly impossible to track product performance across channels.
The Challenge
A personal care brand sells 'Moisturizing Lotion 16oz' through 15 retailers. Each retailer lists it differently: 'Moisture Cream 473ml', 'Hydrating Lotion 16 FL OZ', 'Skin Moisturizer 16oz Pump'. Additionally, retailer data quality varies - some have images, some don't; some have ingredient lists, some don't. The brand cannot track which retailers are out of stock or compare pricing.
The Alchemia Solution
Alchemia's AI-powered entity resolution matches products across naming variations, unit conversions (16oz = 473ml), and format differences. The system understands that 'lotion', 'cream', and 'moisturizer' can be the same product type. Near-product grouping identifies similar items (different sizes of the same product, competitive products) for category analysis.
Key Benefits
92%+ matching accuracy across highly polluted retailer data feeds
Automated detection of new product listings across channels
Near-duplicate identification for competitive analysis
Real-time out-of-stock and pricing visibility across retail
Supply Chain Intelligence
Understanding supply chain risk requires linking products to suppliers, ingredients, manufacturing sites, distribution centers, and logistics providers across a complex global network.
The Challenge
A food manufacturer sources ingredients from 200+ suppliers across 30 countries. When a quality issue is discovered with a specific ingredient lot, the company needs to identify all affected products, determine which are in production vs already shipped, and trace the complete distribution path. This currently takes weeks of manual work.
The Alchemia Solution
Alchemia's knowledge graph maps the complete product journey: ingredient → supplier → manufacturing site → product → distribution center → retailer. When a quality issue is flagged, graph navigation agents instantly traverse these relationships to identify all affected products and their current locations. Golden profiles ensure each supplier, facility, and product has complete, accurate context.
Key Benefits
End-to-end supply chain visibility in single graph
Supplier risk assessment through relationship analysis
Instant impact analysis for quality or supply issues
Complete traceability from raw material to consumer
From fragmentation to global alignment
Global consumer brands need global visibility. Alchemia harmonises disparate product data models into a single source of truth, enabling the agility to compete in every market while maintaining the control to operate as one company.
Data sources automatically integrated
Client Data Reconciliation
Client master data
Reference data
KYC & compliance data
Corporate hierarchies & ownership data
CRM & front-office systems
Supplier Management
Procurement and contracts systems
Companies House and corporate registries
Subsidiary and ownership structures
Supplier self-declaration data
Sanctions and export control lists
Client Coverage
Client & account data
Transaction & activity data (payments, trading activity)
KYC & compliance data
Corporate hierarchies & ownership data
Interaction & relationship data (emails, CRM, product usage)
Real-world application:
Global taxonomy alignment
The Packaging Type Problem
A global beverage company needs to report product sales by packaging type for sustainability reporting. But each region defines packaging types differently.
Europe
-
Glass Bottle
-
PET Bottle
-
Aluminum Can
-
Multi-Pack (6x)
-
Multi-Pack (12x)
-
Carton
North America
-
Bottle - Glass
-
Bottle - Plastic
-
Can
-
6-Pack
-
12-Pack
-
Case
Asia-Pacific
-
Single Glass
-
Single Plastic
-
Single Can
-
Multi-Serve Pack
-
Family Pack
-
Box
The Manual Approach
-
6 months of workshops to agree on global taxonomy
-
Create mapping spreadsheets for each region
-
Manual data transformation scripts
-
Mappings break when new products launch
-
Reporting still requires manual reconciliation
The Alchemia Approach
Schema fusion identifies all packaging type attributes across regions
AI-powered mapping automatically aligns regional values to global standards
Knowledge graph adapts to new data and continuously refines
Human feedback improves mappings over time
Auto-generated APIs provide unified global view instantly
The Alchemia approach
Business value delivered
92%
Product matching accuracy
Across retailers and internal systems, including manually typed free-text messy data
6 weeks
New market launch time
from over 6 months
75%
Reduction in catalog integration time
For acquisitions and new brands
360°
Supply chain visibility
From raw materials to retail shelf