Stripe interviews focus on algorithmic applications in real-world business scenarios. This article demonstrates how to apply Graph Theory to business problems through the "Logistics Cost Calculation" problem. oavoservice helps you combine algorithms with business logic.
📋 Problem Description
Design a system to calculate the optimal logistics path and shipping cost from a warehouse to customers.
Input:
- List of warehouse locations
- List of customer orders
- Transportation network graph (distances and costs between nodes)
Output:
- Optimal delivery path for each order
- Total shipping cost
🎯 Core Concepts
- Shortest Path Algorithms - Dijkstra / Floyd-Warshall
- Graph Modeling - Converting business problems into graph problems
- Optimization Strategies - Batch delivery optimization
- Cost Calculation - Multi-factor cost modeling
💡 Solution Strategy (oavoservice Guidance)
Basic Implementation: Dijkstra's Algorithm
import heapq
def calculate_shipping_cost(graph, warehouse, customers):
def dijkstra(start):
distances = {node: float('inf') for node in graph}
distances[start] = 0
pq = [(0, start)]
while pq:
dist, node = heapq.heappop(pq)
if dist > distances[node]:
continue
for neighbor, cost in graph[node]:
new_dist = dist + cost
if new_dist < distances[neighbor]:
distances[neighbor] = new_dist
heapq.heappush(pq, (new_dist, neighbor))
return distances
distances = dijkstra(warehouse)
total_cost = sum(distances[customer] for customer in customers)
return total_cost, distances
🚀 Optimization Strategies
Batch Delivery Optimization
def optimize_batch_delivery(warehouse, orders, vehicle_capacity):
# Cluster orders by geographical location
clusters = cluster_orders(orders)
routes = []
for cluster in clusters:
route = plan_route(warehouse, cluster, vehicle_capacity)
routes.append(route)
return routes
💼 How oavoservice Helps
Business Understanding - Translating real problems into algorithmic ones Algorithm Selection - Choosing the most suitable graph algorithm Optimization Discussion - Multi-dimensional optimization strategies Code Implementation - Clean engineering code
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Tags: #Stripe #GraphTheory #Dijkstra #LogisticsOptimization #VOHelp #InterviewPrep #1point3acres
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