Trade Data Hub for FMCG: route-to-market data integration, Master Data Management, and data quality automation. 170+ implementations, 700+ distribution branches, 300,000+ retail outlets.

Trade Data Hub for FMCG: route-to-market data integration, Master Data Management, and data quality automation. 170+ implementations, 700+ distribution branches, 300,000+ retail outlets.

Trade Data Hub: your route-to-market data foundation.

Your distributors, wholesalers, and retailers each have their own systems, formats, and timelines. Trade Data Hub collects it all, harmonizes it into Golden Records, and gives your organization a single source of truth — so every decision is based on real data, not assumptions.

170+ Implementations in FMCG
30M→4M Golden Records MDM at scale
700+ Distribution Branches
20+ Years of FMCG expertise
The Problem: Why You Need Trade Data Hub

Your route-to-market data is scattered, inconsistent, and costing you decisions.

Every distributor, wholesaler, and retailer sends data in their own format, on their own schedule, with their own product naming. Without a dedicated integration layer, your team spends more time cleaning data than using it.

Without Trade Data Hub

  • Data arrives in dozens of formats — CSV, EDI, XML, email attachments, FTP dumps
  • Same product has different names, codes, and units across partners
  • Multipacks and bundles reported as single line items — real SKU-level sales invisible
  • Sell-in and sell-out don’t match — but nobody knows why until quarter-end
  • Duplicate outlets across partner databases — no single customer view
  • Weeks of manual work before data is usable for any business decision

With Trade Data Hub

  • One Integration Engine handles any format, any protocol, any partner
  • AI-powered MDM maps 30M raw records to 4M clean Golden Records (85–99.8% automated)
  • Composite Product Decomposition breaks bundles down to real SKU-level data
  • Automated sell-in vs. sell-out reconciliation catches discrepancies in real time
  • Deduplication + geolocalization = one verified outlet record per store
  • Single Source of Truth — data ready for analytics, settlements, and field execution
How Trade Data Hub Works

Four components, one data pipeline

Trade Data Hub processes partner data through a four-stage pipeline — from raw ingestion to analytics-ready insights. Every stage is covered by Data Governance ensuring quality, security, and compliance.

Stage 1

Integration Engine

Connects to every partner system — any protocol, any format. Handles protocol negotiation, format conversion, message transformations, and data translation automatically.

EDI CSV XML API FTP/SFTP

Stage 2

Mapping Engine

Maps partner data to your product and customer model. Handles local business rules per market, partner, and channel. Composite Product Decomposition breaks bundles to SKU level here.

Product mapping SKU decomposition Local rules

Stage 3

Sales Data Mart

Central repository of unified, harmonized trade data — your Single Source of Truth. Clean, deduplicated Golden Records ready for analytics, settlements, and field execution systems.

Golden Records Single Source of Truth

Stage 4

Analytics & Monitoring

Data quality dashboards, data flow monitoring, and business-ready reports through One View (Power BI). Feeds Trade Terms & Settlement and Sales & Retail Execution with clean, verified data.

One View analytics Data monitoring

Data Governance — quality management, security, and compliance across the entire pipeline. ISO/IEC 27001:2022 certified.

Business Value of Trade Data Hub

Why CIOs and CTOs choose Trade Data Hub over generic integration platforms

You could build a data integration layer with MuleSoft or Informatica. Here’s why 170+ FMCG producers chose a purpose-built platform instead.

Faster — ready architecture, not built from scratch

Generic integration tools give you a blank canvas. Trade Data Hub gives you a proven architecture built specifically for FMCG trade data — Integration Engine, Mapping Engine, Sales Data Mart, and MDM already designed for the data types, formats, and business rules your partners use. You’re not building infrastructure; you’re configuring a platform that already understands your industry.

Better — FMCG expertise built into the platform

After 170+ implementations, Trade Data Hub encodes deep knowledge of FMCG partner ecosystems — distributor ERP formats, wholesaler reporting quirks, retailer ePOS specifications, composite product structures, and channel-specific business rules. A generic integrator would need months of custom development to learn what this platform already knows.

Safer — Master Data Management is built in, not bolted on

Most integration projects treat data quality as an afterthought — “we’ll clean the data later.” Trade Data Hub embeds MDM directly into the pipeline: deduplication, golden record matching, AI-powered product identification (Brand, Flavour, Size, Pack across multiple languages), and geolocation enrichment happen automatically as data flows through. 30 million raw customer records become 4 million clean Golden Records at 85–99.8% automation. No separate MDM project. No manual cleanup.

More reliable — 20+ years of production-grade deployments

Trade Data Hub isn’t a startup product. It processes over 1 million data messages per month across 700+ distribution branches and 300,000+ retail outlets. Reference clients include Nestlé, Coca-Cola HBC, SC Johnson, and Imperial Tobacco. The platform has been battle-tested in production environments for over two decades — from SMB producers with 10 distributors to global FMCG enterprises with hundreds of partners across multiple markets.

Master Data Management

From 30 million raw records to 4 million Golden Records — automatically

Master Data Management isn’t a separate project. It’s embedded in Trade Data Hub — every record that flows through the platform is automatically cleaned, deduplicated, enriched, and matched into a single, trusted Golden Record.

1
Onboarding

Accept partner data in any format — EDI, CSV, XML, API, flat files

2
Mapping

Match partner product and customer codes to your master model

3
Cleaning

Data Recognition + Data Correction — fix errors, standardize names, validate formats

4
Enrichment

Add external data — geolocalization, POI sources, tax/VAT repositories, statistical data

5
Matching

Deduplication, Channel Discovery (retail chains, HoReCa, and more), Golden Record delivery

30M→4M

Customer Records

raw → Golden Records

99.8%

Automation

customer matching (top tier)

5M→400k

Product Records

raw → Golden Records

AI

Product Identification

Brand, Flavour, Size, Pack — multilingual

Data Quality Engine

Trade Data Hub doesn’t just collect data — it actively manages its quality

Two mechanisms work continuously to ensure the data you base decisions on is accurate, complete, and consistent — before it reaches your dashboards or settlement engine.

Composite Product Decomposition

Distributors and retailers often report sales as bundles, multipacks, displays, or aggregated brand-level positions — not individual SKUs. Trade Data Hub automatically decomposes these into real SKU-level data, so your analytics and settlements reflect actual product performance.

Handles:

  • Multipacks — “Mixed flavours 6-pack” → 6 individual SKUs
  • Cross-brand bundles — “Coffee + sweets” → separate producer SKUs
  • Displays and stands — one line item → dozens of SKUs inside
  • Aggregated positions — “Brand X” → proportional split to individual products

In production: leading beverage company — 5 markets (Switzerland, Austria, Bulgaria, Ireland, Poland), eRetail channel. Active since March 2026.

Sell-In vs. Sell-Out Reconciliation

What you sold to the distributor (sell-in) and what the distributor sold to stores (sell-out) should match — but they rarely do. This report automatically detects discrepancies and identifies the root cause, so your team can fix data issues in real time instead of discovering them at quarter-end.

Catches:

  • Sub-distribution — distributor resells to unreported sub-distributors
  • Wrong conversion ratios — multipacks counted as singles (or vice versa)
  • Mapping errors — partner SKU mapped to wrong producer product
  • Export errors — incomplete files, duplicate transactions, corrupted data

Result: higher data quality before decisions, faster anomaly detection, ability to correct sell-in directly from the application.

Customer Success Story

How a leading global beverage company unified eRetail sell-out data across 5 European markets

Industry: Beverages Region: Europe (5 markets) Use case: eRetail Data Integration + Composite Product Decomposition

“Our eRetail partners report sales in completely different formats — some at SKU level, others as multipacks or brand-level aggregates. We needed a platform that could ingest all of it and give us a single, consistent view of sell-out performance across markets. Trade Data Hub’s Composite Product Decomposition solved the problem we’d been struggling with for years: now every data point is at real SKU level, regardless of how the partner reports it.”

— Head of Data & Analytics, Global beverage company

5

European Markets

unified on one TDH platform

SKU

Level Accuracy

from bundles, multipacks & aggregates

eRetail

Channel

Ocado, Amazon, REWE, Carrefour, Tesco

2026

Live

active production deployment

eRetail Data
Unification

5 markets. One truth.
Every SKU accounted for.

Integration Ecosystem

Every channel in your route-to-market — connected and harmonized

Trade Data Hub connects to every type of route-to-market partner your business works with — from traditional wholesalers to quick commerce platforms. One Integration Engine. Any format. Any protocol.

Offline channels

Wholesalers Invoiced sales at outlet & SKU level, market share, daily stocks, online orders
Cash & Carry Sell-out data, stock levels, transaction-level detail
Key Accounts + ePOS Electronic point-of-sale data, sales & stock reporting
HoReCa On-trade sales visibility via C&C and distributor data + Channel Discovery
Petrol stations Convenience sales data via distributor networks
Vending Machine-level sales and stock replenishment data

Online channels

eRetail Online grocery sales, ePOS data, stock availability
Quick Commerce Rapid delivery platform orders, fulfillment data
eQSR Quick-service restaurant digital orders and consumption data
eWholesale B2B digital commerce — wholesale orders and stock data

Additional data sources integrated

Producer master data & sell-in SFA & Image Recognition (shelf prices, availability, share of shelf) Business POI maps Trade registries (on/off-trade, wealth, demography) B2B portal data TPM & product profitability

1M+

data messages per month

700+

distribution branches

300k+

retail outlets connected

Analytics Layer

Data is only valuable when it drives decisions

Trade Data Hub collects and harmonizes the data. One View — our analytics layer built on Power BI — turns it into dashboards and reports your commercial teams actually use. Without TDH, there’s nothing to analyze. Without One View, the data stays in tables.

Standard — included with every TDH deployment

Distribution Analytics

Complete visibility into sell-out performance, stock levels, market coverage, and target achievement across your distributor network.

  • Sales Analysis (6 reports)
  • Target Achievement
  • Stocks & Forward Stock (6 reports)
  • Market Coverage (3 reports)
  • Data Sharing monitoring (6 reports)
Requires order-document linking + TTS OTIF module

OTIF Analytics

Monitor On-Time In-Full delivery performance across your distributor network. Identify which distributors consistently under-deliver and why.

  • In-Full by Documents
  • In-Full by Positions
  • Order Realization
  • Order Locks
Requires extended data (category sell-out)

Category Analytics

See your products in the context of the total category — your sell-out plus competitors. Identify where you’re gaining share and where you’re losing potential.

  • Category Analysis
  • Customer Potential
  • Customer Potential Review
  • Lost Potential YTY
  • Distribution Gaps
Industry Recognition

Recognized by analysts, trusted by enterprise FMCG

Trade Data Hub is part of Asseco Platform — evaluated among the world’s leading vendors in FMCG enterprise planning and retail execution.

POI Best-in-Class

Including Data Management — recognizing Trade Data Hub’s integration, harmonization, and MDM capabilities.

POI 2025 Vendor Panorama

Gartner
Representative Vendor

Recognized for world-class solutions with capacity for multi-channel, multi-region deployment — the core of what Trade Data Hub enables.

Gartner Market Guide for Retail Execution Management in FMCG (2025)

ISO/IEC
27001:2022

Information security management certified. Critical when your platform handles partner trade data, financial settlements, and competitive intelligence.

Certified by Alcumus ISOQAR, February 2026

FAQ

Common questions about Trade Data Hub

What is Trade Data Hub?

Trade Data Hub is a purpose-built data integration platform for FMCG producers. It collects sell-out, stock, and order data from every route-to-market partner — distributors, wholesalers, retailers, e-commerce platforms — and harmonizes it into a single source of truth. Built-in Master Data Management deduplicates and cleans data automatically, turning millions of raw records into trusted Golden Records ready for analytics and business decisions.

How is Trade Data Hub different from generic integration platforms like MuleSoft or Informatica?

Generic integration platforms give you a blank canvas — you build everything from scratch. Trade Data Hub gives you a proven architecture built specifically for FMCG trade data: Integration Engine, Mapping Engine, Sales Data Mart, and Master Data Management already designed for the data types, formats, and business rules your partners use. After 170+ implementations, the platform encodes deep knowledge of distributor ERP formats, wholesaler reporting quirks, and channel-specific business rules that a generic tool would need months to learn.

What is Master Data Management and why does it matter?

Master Data Management (MDM) is the process of deduplicating, cleaning, enriching, and matching data records into a single, trusted “Golden Record” per product and per customer. Without MDM, the same store appears multiple times under different names from different partners, and the same product has different codes across distributors. Trade Data Hub’s built-in MDM processes this automatically — turning 30 million raw customer records into 4 million clean Golden Records at 85–99.8% automation, with AI-powered product identification across multiple languages.

What data formats and protocols does Trade Data Hub support?

Trade Data Hub’s Integration Engine handles any format (EDI, CSV, XML, flat files, API) and any communication protocol (FTP, SFTP, HTTP/S, direct database connections). Each partner integration is configured individually — the platform adapts to your partners’ systems, not the other way around. Currently processing over 1 million data messages per month across 700+ distribution branches.

How secure is Trade Data Hub?

Trade Data Hub is ISO/IEC 27001:2022 certified (Alcumus ISOQAR, February 2026), covering five security domains: physical access, work environment, system security, product & service security, and legal security. Each client deployment runs in a dedicated environment — partner data from one producer is never accessible to another. Data Governance is embedded across the entire pipeline, not added as an afterthought.

How long does implementation take?

Implementation depends on scope — number of partners, data sources, and integration complexity. A typical deployment with a handful of distributors can go live in weeks. Enterprise deployments with dozens of partners across multiple markets take several months. Each implementation is managed by Asseco’s own team (not third-party SI partners), bringing 20+ years of FMCG-specific data integration expertise. The platform works for enterprises with hundreds of partners and SMBs with as few as 10 distributors.