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 difference between the Traveling Salesman Problem (TSP) and the Vehicle Routing Problem (VRP), and why VRP is more relevant to last-mile logistics. List three practical constraints that make VRP realistic in production (for example: capacity, time windows, multi-depot) and name two types of heuristics commonly used to solve large VRPs.
HardTechnical
0 practiced
Write pseudocode for an algorithm to assign pick sequences and pack stations in a distribution center to minimize picker travel distance while respecting precedence groups (items that must be picked together) and pack station capacity. Discuss complexity, heuristics such as cluster-first-route-second, and evaluation metrics you would use to compare solutions.
HardTechnical
0 practiced
Explain how multi-agent market equilibrium concepts apply to a two-sided marketplace with heterogeneous buyers and strategic sellers. Discuss matching equilibrium, price formation, the role of platform fees, and policy levers the platform can use to nudge the system toward a more efficient equilibrium.
MediumTechnical
0 practiced
Design an experiment to evaluate a new marketplace matching algorithm that prioritizes lower delivery cost at the potential expense of slightly higher prices. Specify randomization unit, offline simulation steps, ramp plan, guardrails for supply-side health, primary and secondary metrics, and statistical tests to ensure you do not regress on liquidity.
EasyTechnical
0 practiced
Discuss pros and cons of evaluation metrics MAPE, RMSE, MAE, and weighted quantile loss when forecasting SKU-level demand in presence of intermittent demand (many zeros) and wide scale differences across SKUs. Which metric would you recommend for inventory decision-making and why?
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