Build a pricing experimentation tool for small businesses that helps owners understand the financial consequences of changing prices without pretending to know exactly how customers will react.
Let users import products, current prices, unit costs, sales volumes, discount rates, and optional customer-segment data. Calculate contribution margin, gross profit, break-even volume, and the sales volume required to preserve profit after a price change.
Allow users to test price increases, reductions, bundles, tiered pricing, and promotional discounts. Include adjustable demand-response assumptions, competitor price ranges, and changes in product costs. Display optimistic, expected, and pessimistic scenarios side by side.
Show which assumptions have the greatest effect on the result and identify when a recommendation depends on weak or missing evidence. Provide a controlled experiment planner with success metrics, duration, and decision thresholds.
Never invent market demand elasticity or treat simulated outcomes as observed customer behavior. Export a pricing comparison report and an implementation checklist for the chosen experiment.
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