Where Knowledge Becomes Judgment
Your students can define safety stock, JIT, and total cost of ownership. They can pass the exam. But they have never felt a real trade-off. They have never chosen between budget and customer trust. They have never watched a "safe" decision turn into an expensive one. Employers keep saying the same thing: graduates know the concepts, but they cannot make the decisions. This simulation closes that gap.
AI is automating the work that graduates used to be hired for. The analysis, the forecasting, the reports — the first step of the career ladder is disappearing.
Employers no longer hire graduates to do the analysis — AI does the analysis. They hire graduates who can decide.
This simulation prepares students to start their careers at the decision level. They learn to make accountable choices under pressure. They learn to balance different stakeholders and ethical trade-offs. And they learn to use AI as a partner, not fear it as a replacement. Institutions that teach this give their graduates a real head start in the AI era.
Students do not read about consequences.
They live with them — that is when learning becomes permanent.
Decision to Impact is a classroom simulation where students take the role of Chief Supply Chain Officer of a company. Across 6 rounds of real-world crises — supplier shortages, factory shutdowns, port congestion, tariff shocks, and demand surges — every decision moves 5 KPIs at the same time: budget, inventory, customers, suppliers, and sustainability. There is no single "right" answer. There are only better decisions, made under pressure, with incomplete information.
| Element | What It Means |
|---|---|
| 6Decision Rounds | Crisis after crisis — every choice carries forward into the next round. |
| 9Industry Scenarios | From fashion and food to pharma and manufacturing. |
| 5KPIs | Budget, inventory, customers, suppliers, and sustainability — every decision moves all 5. |
| 3Learning Paths | Upstream · Downstream · End-to-End. |
| TTeam-Based Play | Debate, decide, and live with the results together. |
| AIAI-Enabled Reflection | The learning continues after the game. |
Browser-based. No installation. Works in any classroom, lecture hall, or online session. No prior supply chain knowledge is required — the Upstream path starts at the fundamentals.
Before the game, students learn how good decisions are made: trade-off thinking, deciding under uncertainty, and the cognitive biases that cost real supply chains millions. The reading material is built in — no lecture preparation needed.
Each student takes the role of Chief Supply Chain Officer. They learn the company's operations, supply chain structure, and mission. Then they learn the 5 KPIs and how each one behaves in their industry. When the first crisis arrives, they know what is at stake and how to act.
Crisis after crisis, students debate, decide, and live with the results of their choices. You guide a short debrief after every round — turning every decision, good or bad, into a teaching moment.
Performance across all 5 KPIs over the full journey. The final score reflects 6 rounds of connected decisions — not one lucky choice.
Every simulation produces structured decision data: a complete record of the choices made, the trade-offs weighed, and the results that followed. This is where the deepest learning starts.
Every simulation produces something no lecture can produce: structured decision data — every choice, every trade-off, every result, captured and ready to explore.
The guided prompts cover self-reflection, performance analysis, alternative strategies, skill building, and career readiness. The classroom session ends in hours. The learning from those decisions can continue for months.
In the process, students practice the exact skill the AI era demands: using AI to analyze performance and improve. No textbook can teach that. This can.
Guided AI Prompts
Students study the decisions behind their data:
One simulation session can produce weeks of teaching material.
After the session, assign the simulation data to your students — individually or in groups — each with a different task. For example: analyze the decision patterns across the rounds. Find which KPI suffered most and explain why. Propose how the company's operations could be improved. Build the alternative strategy that would have performed better. Recommend how the supply chain should be prepared before the next disruption.
Students work with AI as analysts and advisors — exactly as they will in their careers — and return to class with analysis, recommendations, and improvement plans to present and defend. Every assignment trains the same future skill: turning data into decisions, with AI as a partner.
Bring the simulation into a course you already teach. Whatever your subject — operations, logistics, procurement, strategy, or management — the simulation turns your concepts into choices with consequences. The theory your students learn on Monday becomes a decision they must defend on Friday.
The simulation itself is one session of about 120 minutes. Around it, you can build much more: decision science preparation before the session, and AI-powered assignments after it. One powerful session — weeks of learning around it.
Build a complete standalone course around the full simulation library: 9 industry scenarios across the Upstream, Downstream, and End-to-End paths, combined with the built-in decision science curriculum, the supply chain glossary, and the AI Reflection system. A full experiential course in supply chain decision intelligence — each industry a new context, each path a deeper level of complexity.
Beyond the classroom, the simulation can become a competition. Organize decision-making contests between classes, departments, and cohorts — or challenge other universities. Competition creates energy, visibility, and student engagement — and gives your institution an event built around future-ready skills.
Full competition formats are available — ask us.
Invite us for an online guest session with your students or faculty. One of our certified instructors runs the simulation live — a real demonstration of decision-making under pressure. The debates, the trade-offs, and the energy of decisions with real consequences.
✉ Request a Guest SessionWe do not hand you a platform and walk away.
Partner institutions receive free trainer onboarding: practical training on how to run the simulation, lead the debriefs, and guide students toward insight without giving away the answers. Certified faculty join the network of Authorized Simulation Trainers — a community of educators sharing teaching practices and classroom ideas.
What faculty receive:
Everything needed to teach is built into the platform:
| 01 | Simulation Briefing | Flow, structure, and strategy orientation for students |
| 02 | The Playbook | How the simulation works, what it rewards, and the patterns behind every scenario |
| 03 | Decision Making Concepts | The philosophy, process, and psychology of decision-making: decision types, a step-by-step decision process, cognitive biases, deciding under uncertainty, and group decision techniques |
| 04 | Supply Chain Glossary | A comprehensive and continuously growing glossary, where every term is taught through a Decision → Consequence → Learning story |
| 05 | Acronyms Guide | The language of modern operations, explained |
| 06 | AI Reflection System | A guided prompt library covering self-reflection, performance analysis, alternative strategies, skill building, and career readiness |
A full set of teaching material — already written, already structured, always current.
Every program teaches the concepts. Very few teach the judgment — and almost none teach students to grow with AI instead of competing against it. The institutions that close this gap will be the ones employers look for — and the ones students choose.
Curious how it would work in your curriculum?
Tell us about your program, and we will design the fit together.