Pricing policy

Dynamic-pricing aggressiveness: 40%

This case study models 200 products, each with an individual price elasticity and a demand-responsive AI pricing model. Higher aggressiveness raises prices more sharply when demand signals are strong, lifting revenue per unit — but repeated steep price swings erode customer trust and can suppress future purchase intent.

Month outcome

Total revenue—

Units sold—

Customer trust index—

Products by demand strength (green = price raised, dimmed = price held)