Input–output simulation platform
An economy is not a list of sectors. It's a network.
IOMInsight turns the economic input–output model into a web application. Set a shock, an expansion, a shutdown or a cost change — and read how it travels through 35 sectors and 62 economies before you commit to the decision.
Click any sector to shock it
Output multiplier per $1 of final demand. Illustrative propagation — live values are computed from your chosen country, year and sector.
The problem
One shock never stays where it lands.
In 2020, roughly USD 10 trillion was lost because organisations underestimated how tightly their economies were wired together. A pandemic became a supply chain disruption, then an oil price shock, then inflation, then fiscal pressure — and most planning tools only ever showed the first link.
Missing the big picture
Sector-by-sector views hide the interindustry channels that carry the real damage.
Investment false alarms
Resources get committed against signals that never showed the full chain of consequences.
Late to act
The problem becomes visible in the statistics long after the window to respond has closed.
How it works
Set a condition. Read the ripple. Decide.
Every module follows the same three movements, because that is how an input–output model actually behaves.
Simulate
Choose a country, a year and one or more of 35 sectors. Then set the condition: expand or contract capacity, constrain a resource, shut a supply link, move investment, government spending or exports, or push input costs.
Analyse
The multiplier engine decomposes the result into direct, indirect and induced effects across six indicators, and reports pre-shock against post-shock values with the percentage change, sector by sector.
Act
Compare baseline, actual and scenario paths across the full series, overlay the environmental consequence, and export every table to Excel or CSV for the brief you already have to write.
Trust
Who we work with.
Organisations engaged, institutions that use the work, and the programmes backing it.
Organizations engaged
Trusted by
Recognised & supported by
Try it — impact explorer
A multiplier of 2.1965 means nothing. Six thousand jobs means something.
Pick a sector, move the money, and watch the abstraction turn into a sentence you could say out loud in a meeting.
Put $50 million of new demand into agriculture and the economy responds with 5,050 jobs.
Most of them are not in agriculture.
| Indicator | Direct | Indirect | Induced | Total |
|---|
Employment is read against a $1 million increase in final demand; all other indicators against $1. This is the table the platform exports — the panel above is the same numbers, multiplied out.
Ten modules, three families
Diagnose the structure. Then run the scenario.
Start with what the sector is — where it sits in the supply chain and what role it plays. Only then simulate what happens to it.
Structure
Supply Chain Network Analysis and Industry Classification map who a sector depends on, who depends on it, and whether it is a backbone, a fast grower, an emerging frontier or a net distributor.
ScenarioShock
Economic Efficiency, Production and Output Efficiency, Crisis Response, and the bilateral and multilateral variants all run through one shared multiplier engine and return the same four result views.
PriceCost
Total Factor Productivity works the price side of the model — pushing import, value-added and tax costs through to sectoral output prices and the economy-wide inflation rate.
Where we sit
Global coverage, without the technical overhead.
Most input–output tooling is either a US-only dashboard or a research codebase. IOMInsight is neither.
| Capability | IOMInsight | US-focused dashboards | Research codebases |
|---|---|---|---|
| Multi-country coverage (62 economies) | Yes | Single country | Depends on the dataset you build |
| Cross-border bilateral & multilateral scenarios | Yes | No | Manual |
| No technical skills required | Yes | Yes | No |
| Cloud native, always current | Yes | Yes | No |
| Environmental extension built in | Yes | Rarely | Manual |
| AI-assisted interpretation of results | Yes | No | No |
Built for decisions with consequences
See the impact. Understand the connections. Act before it happens.
Ministries stress-testing a transformation plan. Research teams that need a defensible counterfactual. Companies mapping where their supply chain actually breaks. Lecturers who want students running simulations instead of reading about them.
Module reference
Ten modules. One engine underneath.
Two modules diagnose structure. Seven simulate scenarios across one, two or five economies. One works the price side. They share a common data spine, so a finding in one carries into the next.
Index
Supply Chain Network Analysis
Identifies the key sector players inside a chosen sector's domestic supply chain.
Industry Classification
Assesses the role each sector plays, using normalised backward and forward linkages.
Bilateral Supply Chain Network
Key players and interdependencies in a sector's supply chain across two countries.
Economic Efficiency Analysis
Expansion or contraction of production capacity under a resource constraint.
Production Efficiency Analysis
A sector's actual capacity at unchanged technology, with false alarms flagged.
Output Efficiency Analysis
How effectively production meets final demand under input expansion or contraction.
Crisis Response Analysis
Consequences of a partial or complete shutdown of one or more sectors.
Bilateral Output Efficiency
Input expansion or contraction across two countries, with regional export shocks.
Multilateral Output Efficiency
The same scenario logic extended to one home economy and up to four hosts.
Total Factor Productivity Analysis
Input-cost changes — import prices, value added, taxes — pushed through to output prices and inflation.
Family one — Diagnostic
Know the structure before you shock it.
Run these first. A scenario is only meaningful against sectors that genuinely sit in the chain.
Supply Chain Network Analysis
Maps the domestic supply chain around a chosen sector and identifies the key players inside it. The network is traced by average propagation length against a significance threshold, and resolved to a chosen depth — direct suppliers only, one distributor away, or two.
- You choose
- Country, year, sector, significance threshold, network depth.
- You get
- The set of sectors that materially supply the chosen sector, ranked, with the strength of each link.
- Reads well with
- Industry Classification, to learn what role each of those suppliers plays.
- Practical rule
- Scenario simulations should stay within the sectors this analysis surfaces.
Industry Classification
Places every sector on two axes — normalised backward linkage, which measures how much a sector pulls from its suppliers, and normalised forward linkage, which measures how much other sectors pull from it. The four quadrants are the whole point.
Hover or tap a sector
Each dot is one of the 35 sectors, placed by how hard it pulls on its suppliers and how hard other sectors pull on it. The two lines are drawn at 1.0 — the economy-wide average.
Normalised forward linkage →
Backbone sectors
Essential in generating demand for other sectors. Dependent on interindustry supply.
Fast growing sectors
Integral to growth, with strong connections in both directions. Generally dependent.
Emerging sectors
Promising new frontiers that will shape the future economy. Generally independent.
Net distributor sectors
Suppliers of essential goods and services, with widespread downstream influence. Dependent on interindustry demand.
← Normalised backward linkage, read top to bottom: high above, low below.
Bilateral & Multilateral Supply Chain Network Analysis
The same network logic, opened up across borders. The bilateral view identifies the key players and their interdependent relationships in a sector's supply chain between two countries. The multilateral view extends to five — one home economy and up to four hosts — which is where the exposure most organisations cannot see usually shows up.
- Bilateral
- Home and host. Both directions of the chain are resolved.
- Multilateral
- One home economy plus up to four hosts, compared side by side.
Family two — Scenario
One engine, one result grammar.
Every scenario module returns the same four views. Learn them once and every module is legible.
Multipliers by year
Six indicators decomposed into direct, indirect, induced and total.
Exogenous shock by year
Pre-shock against post-shock values with the percentage change, across all 35 sectors.
Trend analysis
Baseline, actual and scenario paths plotted over the full series.
Environment trend
The environmental consequence of the same scenario, baseline against scenario.
The three lines, defined
Baseline is the benchmark: it excludes the effect of policy intervention from the previous period, and exists so a new strategy can be judged against something. Actual is what really happened once events occurred. Scenario is the simulated outcome under the conditions you set.
Economic Efficiency Analysis
Analyses resource allocation when a sector expands or contracts — because of technological advancement, or because a resource has become constrained. You set the percentage change and flag the constraint.
- You set
- Expansion or contraction as a percentage, plus a resource constraint, for one or more sectors over any period in range.
- Also simulates
- Investment, government spending or exports.
Production & Output Efficiency Analysis
Two closely related questions, run together. Production efficiency asks whether output is being produced with the least resource and cost — evaluating a sector's actual capacity at unchanged technology, and flagging false alarms before they drive a decision. Output efficiency asks how effectively that production meets final demand once inputs expand or contract.
- You set
- Resource constraints, or input expansion and contraction, for one or more sectors across a chosen period.
- Typical reading
- A $1 increase in final demand for the sector produces $0.39 of value added within that sector.
Crisis Response Analysis
Assesses what a production disruption does to the economy when one or more sectors halt. Disruption can be partial or complete, and results are presented before and after, so the loss is explicit rather than implied.
Worked example — United States, 2020
Supply from chemicals and chemical products into coke, refined petroleum and nuclear fuel is disrupted. Drag the severity and watch which layer of the economy actually gives way.
10 jobs lost for every $1 million of final demand. The sector itself keeps producing at the same direct rate — the damage is almost entirely in the induced layer, as lost income stops circulating.
Bilateral Output Efficiency Analysis
Input expansion or contraction across two economies, with the trade channel made explicit. Alongside the standard indicators, the module simulates the home country's exports to the host and to eight regional blocs — Southeast Asia, Central Asia, East Asia, Europe, Oceania, North America, South America and the rest of the world.
Multilateral Output Efficiency Analysis
The same scenario logic across many economies — one home country and up to four hosts — for questions that only make sense at bloc scale: a regional trade agreement, a coordinated tariff, a shared supply shock.
Family three — Price
Total Factor Productivity Analysis
This module works the other side of the model. Rather than tracing quantity through the multiplier, it pushes cost through the price dual: a change in import prices, value added and labour cost, or taxes becomes a change in sectoral output prices and, aggregated, in the economy's inflation rate.
- Sectoral output price change
- The price impact on individual sectors from the simulated change in input costs.
- Economic inflation rate
- The overall price-level impact across all sectors.
- Contribution to inflation
- The share of the inflation rate attributable to the chosen sector, when only one or a few sectors are shocked.
- Simultaneous shocks
- Cost changes can be combined — for example a 5% import rise in agriculture alongside a 5% value-added rise economy-wide.
Note: TFP is a price model, not a multiplier model. Its results are not comparable line for line with the scenario family.
Next
Want to see a module run on your own sector?
We'll set up the country, year and sector you actually care about and walk through the output live.
Method
The model is old. The access is new.
Input–output analysis has underpinned national accounting and policy appraisal for seventy years. What has been missing is a way to run it — across countries, with extensions, without writing code. That is the whole of what IOMInsight does.
Foundation
Technical coefficients and the Leontief inverse.
An input–output table records what every sector buys from every other sector. Divide each column by that sector's total output and you have the technical coefficient matrix: the recipe for one unit of output.
Inverting the identity matrix minus those coefficients gives the Leontief inverse — the total requirements matrix. It answers the question the table alone cannot: to deliver one more unit of final demand from this sector, how much production is required from every sector, once you count the suppliers of the suppliers.
Extending the model to include households as an endogenous sector adds the induced layer, which is where consumption feedback lives. In most economies it is the largest of the three.
Decomposition
Four effect layers.
Direct
The immediate impact of the change, inside the sector where it occurs.
Indirect
The secondary effects on industries that supply goods and services to that sector.
Induced
The additional activity generated when increased household income is spent.
Total
The full economic consequence of the initial change.
Each indicator is computed as the value of its multiplier over the change in final demand of the chosen sector — output, employment, value added, imports, taxes and exports alike.
Network
Average propagation length and linkage.
Supply chain networks are resolved by measuring how far, on average, an impulse travels between two sectors, and keeping only links above a significance threshold you control. Depth is a setting: direct suppliers, one distributor removed, or two.
Industry classification uses normalised backward and forward linkages. Backward linkage above one means the sector pulls disproportionately on its suppliers; forward linkage above one means other sectors pull disproportionately on it. The two thresholds produce the four quadrants — backbone, fast growing, emerging and net distributor.
Price side
The cost-push dual.
The quantity model and the price model are two readings of the same table. Where the quantity model traces final demand forward into production, the price model traces input cost forward into output price.
A change in import prices, in value added and labour cost, or in taxes enters as a cost shock and propagates through the same interindustry structure — arriving as a set of sectoral output price changes and, weighted up, an economy-wide inflation rate. When only a few sectors are shocked, the model isolates their contribution to that rate.
Extension
The environmental overlay.
Every scenario carries an environmental consequence, reported baseline against scenario over the same period.
- Carbon dioxide, methane, nitrous oxide and fluorinated gas emissions
- Total greenhouse gas emissions
- Water usage intensity and energy intensity
- Permanent cropland area
Honest limits
What the model assumes.
Input–output analysis is a simulation framework, not a crystal ball. IOMInsight reports foresight under stated conditions, and the conditions matter.
- Fixed technical coefficients. Production recipes are held constant within the simulated period, which is why the modules are framed around unchanged technological level.
- Linear response. Effects scale proportionally with the shock; the framework does not model non-linear thresholds or behavioural adaptation.
- No capacity ceiling unless you set one. Supply is assumed able to respond, which is exactly why the resource constraint setting exists.
- Annual resolution. Results are read year by year, not month by month.
- Sector aggregation. 35 sectors is the resolution of the underlying accounts; results describe sectors, not individual firms.
Provenance
Built from a working engine, not a whiteboard.
The models behind IOMInsight were built and used first as macro-level economic engines in Excel, across real consulting and policy projects. The web application is that engine, rebuilt to scale, with AI assistance layered on interpretation. The method is protected by patent and trade secret.
Data coverage
62 economies. 35 sectors. Eighteen years of accounts.
The same classification everywhere, which is the only reason cross-country comparison means anything.
Economy coverage
Explore the 62 economies.
Search, filter by region and select any economy to confirm its coverage. Every named economy runs on the same 35-sector classification and annual accounts.
No economies match that search. Try a different spelling or clear the regional filter.
Sector classification
Thirty-five sectors, consistently defined.
Every economy in the platform is expressed in the same 35-sector classification, from agriculture through to private households with employed persons.
- 01Agriculture, hunting, forestry & fishing
- 02Mining & quarrying
- 08Coke, refined petroleum & nuclear fuel
- 17Electricity, gas & water supply
- 03Food, beverages & tobacco
- 04Textiles & textile products
- 05Leather & footwear
- 06Wood & products of wood, cork
- 07Pulp, paper, printing & publishing
- 09Chemicals & chemical products
- 10Rubber & plastics
- 11Other non-metallic minerals
- 12Basic & fabricated metals
- 13Machinery, n.e.c.
- 14Electrical & optical equipment
- 15Transport equipment
- 16Manufacturing n.e.c.; recycling
- 18Construction
- 19Motor vehicle sale & repair; fuel
- 20Wholesale & commission trade
- 21Retail trade; household repair
- 22Hotels & restaurants
- 23Inland transport
- 24Water transport
- 25Air transport
- 26Other transport; travel agencies
- 27Post & telecommunications
- 28Financial intermediation
- 29Real estate activities
- 30Renting & other business activities
- 31Public administration & defence
- 32Education
- 33Health & social work
- 34Other community & personal services
- 35Private households with employed persons
Grouping is for orientation only — every module operates on all 35 sectors individually. Financial intermediation is grouped with trade & logistics here for balance; the platform classifies it as a distinct service sector.
Indicators & extensions
What every simulation reports.
Economic indicators
- Output — total production value generated
- Employment — jobs supported, read per $1 million of final demand
- Value added — contribution to GDP
- Imports — import content drawn in
- Taxes — tax revenue generated
- Exports — export value supported
Environmental extension
- Carbon dioxide (CO₂)
- Methane (CH₄)
- Nitrous oxide (N₂O)
- Fluorinated gases
- Total greenhouse gas emissions
- Water usage intensity, energy intensity, permanent cropland
Your own data
Bring your table.
If you hold an input–output table the platform doesn't — a sub-national account, a more recent release, a bespoke sector split — upload it as an Excel file and run the same modules against it.
Every result table exports to Excel or CSV, so the output lands in the workbook, model or brief you were already building.
Solutions
Same engine. Five very different rooms.
A ministry, a research centre, a supply chain team, a lecture theatre and a training floor ask different questions of the same matrix.
Not sure which fits
Tell us the question. We'll tell you the module.
Send the decision you're facing and we'll show you the shortest route to an answer — including if that route isn't ours.
Pricing
Two plans. Priced in ringgit. No per-simulation charges.
Run as many scenarios as the question needs. Pricing scales with access and support, never with usage. Switch between monthly and yearly below.
Analyst
Researchers, students, individual practitioners
- Single-economy modules
- Supply Chain Network & Industry Classification
- Economic, Production & Output Efficiency
- Crisis Response & TFP
- Environmental extension
- Excel & CSV export on every table
- Email support
Institution
Government, universities, enterprises, consultancies
- Everything in Analyst
- All 10 modules, including bilateral & multilateral
- Multi-country comparative analysis
- Custom input–output data upload
- Admin panel & cohort management
- Editable tooltips & terminology
- Onboarding, training & priority support
Prices exclude applicable taxes. Yearly billing is charged once annually at the rate shown. Consortium, multi-year and site-licence terms are available — talk to us. Figures are indicative and can be tailored per engagement.
Common questions
Before you ask us.
Is there a limit on how many simulations I can run?
No. Subscriptions are priced on access, not volume — run as many scenarios as the question needs.
Do I need to know input–output economics to use it?
No. Every result view carries an interpretation, and the tooltips explain each concept in place. What helps is knowing your own sector.
Can I use my own input–output table?
Yes, on the Institution plan. Upload an Excel file and the modules run against your own data.
Does IOMInsight forecast the economy?
No — and the distinction matters. It simulates outcomes under conditions you specify. That is foresight under assumption, not prediction. The assumptions are documented on the method page.
How is classroom access licensed?
Through the Institution plan, with an admin panel for cohorts and editable tooltips so terminology matches your syllabus. Talk to us about cohort size.
What support is included?
Email support on Analyst; onboarding, training and priority support on Institution.
About
We built the engine before we built the product.
IOMInsight began as a set of macro-level economic models built directly into Excel, on real consulting and policy projects. The web application is that engine, rebuilt to scale and opened to people who should never have to touch a matrix to get an answer.
Position
Global data, not just US data.
The input–output tooling that exists today is overwhelmingly built around a single economy. That is fine until the question crosses a border — which, for trade policy, supply chain risk and industrial strategy, it always does.
IOMInsight covers 62 economies on a consistent 35-sector classification, with bilateral and multilateral modules built in rather than bolted on. The method is protected by patent and trade secret, and the architecture is built to scale globally.
Team
Economics, growth, and the classroom.
Prof. Dr. Yong Chen Chen
Founder & Chief Technology Officer
Fifteen years and more of academic and research experience in labour and applied economics, focused on technological innovation and strategic advancement. Consultant to government projects and active in policy formulation.
Hafiz Majid
Chief Executive Officer
Seven years in performance marketing and budget management, driving the company's growth and market position.
How we grow
Four routes to market.
Academic workshops
Targeted seminars that build expertise and turn domain experts into advocates.
Business to government
Engagement with ministries, agencies and institutions to drive policy impact and institutional adoption.
Strategic partnerships
Collaboration with leading universities, industry players and ecosystem partners.
Subscription conversion
Turning engaged users and institutions into recurring subscribers.
Validation
We asked before we built.
A market validation study of 30 interviews across our customer segments — SMEs and researchers among them — shaped which modules shipped first and how results are presented.
The most consistent finding: people did not want more numbers. They wanted to know which numbers would survive scrutiny, and why. That is why every result view carries its interpretation, and why the method page states the model's limits rather than hiding them.
Language note
We say foresight, not forecast.
IOMInsight simulates outcomes under conditions you set. It does not predict the future, and we are careful never to imply that it does. Every scenario is a conditional statement, and it is only as good as the condition attached to it.
Get in touch
Bring us a question with real stakes.
Tell us the country, the sector and the decision. We'll set up the simulation before the call and walk through the output with you live.
What to expect
- A 30-minute call, run on your country and sector — not a canned demo
- A walkthrough of the module that fits your question
- The exported tables afterwards, yours to keep
- An honest answer if input–output analysis isn't the right tool for what you're asking
Other ways to reach us
General enquiries — admin@iominsight.com