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The Optimal Pricing Strategy Simulator is an educational Python application that models how businesses determine the best price for a product or service. It uses mathematical demand functions, production costs, and competitor pricing to simulate real market behavior.
The system calculates key financial metrics such as demand, revenue, total cost, profit, and profit margin across a range of prices. It then applies numerical optimization (using SciPy) to identify the price that maximizes profit.
The tool also includes visual analysis through graphs that show how revenue, cost, and profit change with price. This helps users understand economic concepts such as price elasticity, competition effects, and profit optimization in an interactive and visual way.
It is designed for students, educators, and learners who want to explore pricing theory, mathematical modeling, and business decision-making through simulation.
Features
- calculate profit
- model
- finance model
- graphs to view it
