DELIVER | Supply Chain Analytics

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Delivery Route Optimization

VRP solving and last-mile efficiency

What Is It?

Route Optimization determines the most efficient sequence of stops for delivering goods.

  • Minimize distance - Reduce travel and fuel
  • Minimize time - Faster deliveries
  • Meet constraints - Time windows, capacity, hours
  • Adapt dynamically - Real-time adjustments

Business Objectives

Cost Reduction

Fuel, vehicle, driver

Time Efficiency

Faster completion

Customer Sat

Reliable delivery

Environment

Reduce emissions

Utilization

Max vehicle use

Problem Complexity

Route optimization is NP-hard (TSP/VRP variants)

Constraints to Consider:

• Vehicle capacity
• Time windows
• Driver hours
• Traffic conditions
• Road restrictions
• Customer preferences

Analytics Methods

Exact Algorithms

Optimal for small problems

Heuristics

Fast for large problems

Metaheuristics

Genetic, simulated annealing

Reinforcement Learning

Adaptive real-time

Key Performance Indicators

Distance

Time

Fuel

On-Time

Utilization

Related Use Cases

Delivery Prediction Transportation Cost Network Design
All DELIVER Cases

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