Design a real-time Inventory Management System

Last updated: May 18, 2026

Quick Overview

Design a real-time inventory management system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Netflix
System Design
Software Engineer
Netflix
May 18, 2026
Software Engineer
Onsite
System Design
Hard

38

5

3,272 solved


Design a real-time inventory management system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

ML system design at Netflix goes beyond model selection. This Onsite 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
  • Design the full ML lifecycle from data collection to model monitoring
  • Address cold start, exploration/exploitation, and model freshness
  • Discuss multi-objective optimization and ranking systems
  • Plan for model debugging, fairness, and bias mitigation
  • Design the feature store and training pipeline for scale
  • Address model versioning, canary deployments, and rollback strategies
  • Discuss the data flywheel and long-term system evolution
Key Topics to Cover
Monitoring and model degradation detection
Feature engineering and feature stores
A/B testing and experimentation
Model serving and latency optimization
Feedback loops and model retraining
Model selection and architecture
How to Approach This
  1. Start by clarifying functional and non-functional requirements with the interviewer.
  2. Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
  3. Draw a high-level architecture first, then deep dive into 1-2 critical components.
  4. Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
  5. Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
  • What would you do if model performance degrades over time?
  • How would you handle the cold start problem?
  • How would you debug a model that works well offline but poorly online?
  • How would you ensure fairness and reduce bias in the model?
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Sample Answer
Requirements

Functional Requirements

  1. Real-time Inventory Tracking: The system should continuously track the availability of titles, including movies and series, across all regions.
  2. *User Management...
Capacity Estimation

Assuming Netflix has approximately 230 million subscribers:

  1. Assumption of Requests: If each user makes about 5 requests per day for inventory checks, that results in:
    • `230 million users * ...

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