Logistics & Marketplace Dynamics Fundamentals Questions
Foundational concepts and practices for understanding and optimizing logistics within marketplace ecosystems, including order fulfillment, inventory management, routing and transportation planning, demand forecasting, capacity planning, and the economic dynamics of seller and buyer behavior, pricing strategies, incentives, and platform governance.
HardSystem Design
0 practiced
Architect a payments-and-refunds flow tightly coupled to fulfillment state to ensure funds are captured, held, or refunded correctly as orders move through pick, ship, and delivery stages. Include handling partial refunds, chargebacks, multi-provider orchestration, and reconciliation with finance systems.
MediumSystem Design
0 practiced
Design a microservices-based order-fulfillment architecture for a marketplace expected to handle 5 million orders per day with 99.99% API availability and peak inventory writes of 5k/sec. Specify key services, event flows, storage choices (OLTP vs event store), caching, and mechanisms to ensure inventory correctness while keeping low latency for buyers.
MediumTechnical
0 practiced
Design an API contract and synchronization strategy for seller inventory sync that includes webhook push, periodic bulk pull, payload design, idempotency, pagination, rate limits, error handling, and reconciliation procedures. Specify how you'd support millions of SKUs and minimize inconsistency windows.
MediumTechnical
0 practiced
How would you model marketplace liquidity and two-sided matching metrics (for example: time-to-match, conversion per impression, excess-demand ratio), and what technical levers would you recommend to improve liquidity from an architectural standpoint (caching, pre-allocation, batching, recommendation)?
MediumSystem Design
0 practiced
Compare hub-and-spoke versus distributed micro-fulfillment center (MFC) network topologies. For each approach, describe operational implications, expected latency to customer, inventory duplication, capital and operational expenses, and how you'd model the trade-offs for a metropolitan rollout.
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