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Smart Route Optimization for Last-Mile Delivery
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Smart Route Optimization for Last-Mile Delivery

ParcelSprint Networks

Introduced AI route planning and dispatch optimization to cut fuel costs and improve on-time delivery.

AIOptimizationLogistics
Smart Route Optimization for Last-Mile Delivery

Overview

Problem

Static routing and late traffic changes caused missed delivery windows and high operating costs.

Solution

  • Built dynamic route generation using traffic, stop density, and service-time estimates
  • Added live re-optimization for disruptions and failed attempts
  • Exposed planner controls for business constraints and priorities

Outcome

  • 16% reduction in cost per route
  • 13% increase in on-time delivery
  • 20% reduction in dispatcher intervention

“Dispatching shifted from firefighting to predictive planning.”

Malik Greer, Head of Delivery Operations, ParcelSprint

Related resources

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