Design a Inventory Management Service
Last updated: July 23, 2025
Quick Overview
Design a multi-tenant inventory management system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Redfin
July 23, 202520
4
2,124 solved
Design a multi-tenant inventory management system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
ML system design at Redfin goes beyond model selection. This Technical Screen question evaluates your ability to design end-to-end ML pipelines, from data collection to model serving, while considering production constraints like latency and reliability.
What the Interviewer Expects
- Define clear ML objectives with appropriate loss functions and metrics
- Design a comprehensive feature engineering pipeline
- Discuss model selection with trade-offs (complexity vs interpretability vs latency)
- Plan online and offline evaluation strategies including A/B testing
- Address serving infrastructure: batch vs real-time, latency requirements
- Consider data quality, labeling strategy, and feedback loops
Key Topics to Cover
How to Approach This
- Start by clarifying functional and non-functional requirements with the interviewer.
- Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
- Draw a high-level architecture first, then deep dive into 1-2 critical components.
- Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
- Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
- How would you handle a 10x increase in prediction requests?
- How would you ensure fairness and reduce bias in the model?
- How would you handle the cold start problem?
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Requirements
Functional Requirements:
- Multi-tenant Support: The system must support multiple clients (real estate agents, property managers) with isolated data access.
- Real-time Inventory Updates...
Capacity Estimation
Assuming Redfin handles approximately 1 million property listings and receives an average of 5 requests per user daily, with 100,000 active users:
- Total Daily Requests: 100,000 users * 5 request...
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