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Design an inventory management system

Last updated: Mar 29, 2026

Quick Overview

This question evaluates competency in system design, data modeling, distributed consistency, concurrency control, API design, idempotency, and scalability for backend inventory and reservation workflows.

  • medium
  • Instacart
  • System Design
  • Software Engineer

Design an inventory management system

Company: Instacart

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Onsite

Design an inventory management system for an e-commerce business. The system must support: - Updating stock when inventory is received, adjusted, or sold. - Reserving items when a shopper starts checkout (to prevent overselling). - A “shopper collects items” workflow (e.g., curbside pickup / warehouse picking): an API call that marks items as collected/picked and updates inventory accordingly. Focus areas: - Database schema design. - Achieving high consistency (avoid overselling, correct reservation handling under concurrency). - Core APIs and their request/response semantics. - Handling race conditions, retries, and idempotency. - Reasonable scaling approach (multiple SKUs, multiple warehouses/locations).

Quick Answer: This question evaluates competency in system design, data modeling, distributed consistency, concurrency control, API design, idempotency, and scalability for backend inventory and reservation workflows.

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Instacart logo
Instacart
Jan 28, 2026, 12:00 AM
Software Engineer
Onsite
System Design
7
0

Design an inventory management system for an e-commerce business.

The system must support:

  • Updating stock when inventory is received, adjusted, or sold.
  • Reserving items when a shopper starts checkout (to prevent overselling).
  • A “shopper collects items” workflow (e.g., curbside pickup / warehouse picking): an API call that marks items as collected/picked and updates inventory accordingly.

Focus areas:

  • Database schema design.
  • Achieving high consistency (avoid overselling, correct reservation handling under concurrency).
  • Core APIs and their request/response semantics.
  • Handling race conditions, retries, and idempotency.
  • Reasonable scaling approach (multiple SKUs, multiple warehouses/locations).

Solution

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