Reach
Which part of the potential market is reached by the proposal.
Customers, competition and uncertainty
Simulated customers have profile, personality, context and decision factors.
Each customer can weigh price, proximity, services, opening hours, professionalism, service, equipment, crowding and affinity differently. AI competition adds alternatives to the market, event cards change the overall context and chance cards introduce individual uncertainty for each team.
AI does not replace human decisions: the teams decide and the simulation returns consequences. The final analysis with AI helps turn the results into learning and strategic conversation.
What the engine analyses
The reading combines market behaviour, team decisions and economic development.
Conversion
How decisions turn into real customers within the game.
Acquisition
New customers attracted by location, marketing, price and value proposition.
Renewal
Customer continuity based on satisfaction, fit and available competition.
Costs
Impact of premises, staff, equipment, services and commercial actions.
Revenue
Relationship between price, volume, capacity and customer behaviour.
Competition
Pressure from other teams and alternatives managed by AI.
Satisfaction
Reading of the fit between promise, operation and customer expectations.
Events
External conditions that alter decision-making in each round.
Chance
Specific variations that force hypotheses and priorities to be adapted.
Connect the simulation with your learning objectives.
We can review which variables are worth highlighting in your training activity.