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.
EasyTechnical
0 practiced
Explain the differences between demand forecasting and inventory forecasting in a marketplace logistics context. For each, describe typical time horizons, inputs, outputs, how BI teams report them, and common pitfalls when consumers, sellers, and promotions change rapidly.
HardTechnical
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You have 20 BI requests for next quarter from ops, product, and finance. Propose a prioritization framework (criteria and scoring rubric) to rank requests. Provide an example scoring for five hypothetical requests, explain how to include risk and effort, and how you would revisit priorities mid-quarter with stakeholders.
HardTechnical
0 practiced
Case study: Your company launched 'instant delivery' in a metropolitan area. After launch there is a spike in cancellations, increased delivery costs and more refunds. You have order, courier-route, refund, and customer-feedback tables. Outline the sequence of analyses you would run to diagnose the issues, list the key metrics and hypotheses, and provide at least five operational recommendations to the launch team including short-term guardrails.
MediumTechnical
0 practiced
Write an ANSI SQL query to compute the 95th percentile of delivery_time_hours per zip_code over the last 90 days. Discuss performance considerations and an approach to scale this calculation for a dataset with billions of deliveries (e.g., use of approximate percentile functions or pre-aggregation).
EasyTechnical
0 practiced
Define and contrast 'fill rate', 'in-stock rate', and 'service level' in inventory management. For each metric explain the formula, typical data sources a BI analyst would use, and one visualization approach to display it over time and by SKU cluster.
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