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Real-Time Pricing Engine
MediumML System Design
Design a dynamic pricing system for a ride-sharing platform.
Scenario: A ride-sharing company needs to adjust prices based on real-time demand and supply. The system must balance maximizing revenue with maintaining rider satisfaction and driver availability.
Your Task: Design the pricing engine.
Key Challenges:
- Real-time demand/supply estimation
- Price sensitivity modeling
- Fairness and regulatory constraints
- Geographic and temporal patterns
Design Mode
📝 Your Design Approach
Describe your system design approach. Consider components, data flow, and key decisions.
🎯 Design Questions(Select all that apply)
Q1.Which factors should a ride-sharing pricing model consider?
Q2.How should the pricing system prevent price gouging during emergencies?
Q3.What ML approach best models the relationship between price and demand?
Q4.How should the system ensure pricing fairness across demographics?
0 of 4 questions answered