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.
HardTechnical
68 practiced
Propose a modeling framework that jointly forecasts demand and optimizes dynamic pricing in a two-sided marketplace while accounting for seller reactions, cross-elasticities across SKUs, and inventory constraints. Explain estimation strategy, computational approach (decomposition, approximate dynamic programming), and a pragmatic rollout/experiment plan.
EasyTechnical
71 practiced
Define and explain Economic Order Quantity (EOQ), safety stock, reorder point, and service level in inventory management. For each concept provide the standard formula or interpretation, the assumptions behind it, and one practical limitation when applied to a long-tail marketplace of thousands of SKUs.
EasyTechnical
53 practiced
Given a sales table with schema: sales(sale_id PK, seller_id int, sku_id int, quantity int, amount decimal, sold_at timestamp), write a SQL query that returns the top 10 sellers by total quantity sold in the last 90 days, along with total revenue, distinct SKUs sold, and average order size. Describe indexing or partitioning strategies to make this query fast on a large dataset.
HardTechnical
56 practiced
Outline an algorithm or provide pseudocode that approximates optimal safety-stock levels for a multi-echelon supply chain under stochastic demand and lead times using simulation-based optimization. The function should accept demand distributions, lead-time distributions, service-level targets, and return safety stock per node. Discuss computational considerations.
MediumTechnical
57 practiced
What short-term tactical and long-term strategic metrics and models would you use to forecast and plan warehouse and driver capacity for a peak season expected to be 3x normal demand? Explain scenario modeling, surge staffing, and how you'd set safety margins and SLAs.
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