Evidence in Action – Case Study 004

Creating the GSCI Industrial Intelligence Model

Connecting manufacturing capability, product classifications and global trade data.

The Challenge
Governments classify businesses using Standard Industrial Classification (SIC) codes, while international trade is measured using Harmonised System (HS) product codes. The two systems were designed for different purposes and do not naturally connect.

The Intelligence
GSCI developed a governed methodology that maps manufacturing SIC codes to equivalent HS product codes and enriches those relationships with manufacturing capability, industrial processes, value-chain position, economic function, strategic importance and confidence scoring.

The Outcome
The result is a repeatable industrial intelligence model that connects businesses with the products they make and the products countries trade — allowing decision-makers to identify capability, dependencies, market opportunities and strategic supply-chain risks across more than 130 countries.

CONNECTING DATA TO INDUSTRIAL INTELLIGENCE

What Changed?

Instead of treating business classifications and trade statistics as separate datasets, the GSCI Model connects them through governed relationships. This creates a direct link between manufacturing capability and internationally traded products.

Why It Matters

Decision-makers can move beyond broad sector classifications and ask product-level questions about manufacturing capability, supply-chain exposure, inward investment, reshoring and export opportunity.

Evidence at a Glance

Focus: Industrial Intelligence
Challenge: Connecting business data with international trade
Innovation: Governed SIC–HS Industrial Intelligence Model
Coverage: Product-level analysis across 130+ countries
Key components: capability, trade mapping, value-chain analysis, strategic classification and confidence scoring
Applications: industrial strategy, inward investment, supply-chain resilience and international trade

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