Design a Dynamic Pricing System

Design an ML system that dynamically adjusts prices based on supply, demand, and market conditions. The system must balance revenue optimization with customer satisfaction, respond to real-time demand shifts, and handle constraints like price fairness and regulatory limits. Consider causal inference challenges (price changes affect demand), exploration vs. exploitation, and how to evaluate pricing policies.