Case File: logistics-optimization#Logistics#Algorithms

Logistics Route Optimization Platform

Client

SwiftHaul Logistics

Supply Chain Giant

Primary Objective

Inefficient routing was causing 20% excess fuel costs and delayed deliveries.

Impact Protocol

Cut fuel costs by 18% in the first quarter. Improved on-time delivery rate to 98%.

The Challenge

SwiftHaul operates a fleet of 500+ trucks. Their manual routing process resulted in suboptimal paths, high fuel consumption, and missed delivery windows. They needed an automated solution that considered traffic, fuel efficiency, and driver shift constraints dynamically.

Our Approach

We implemented a custom VRP (Vehicle Routing Problem) solver using OR-Tools, customized for their specific constraints. This engine runs nightly to plan the next day's routes and updates dynamically throughout the day based on real-time traffic data from Google Maps Platform. We also built a Flutter mobile app for drivers to receive turn-by-turn navigation and proof-of-delivery capabilities.

The Results

18% reduction in overall fuel consumption.

98% on-time delivery rate (up from 85%).

Reduced dispatcher workload by 70%.

Complete visibility into fleet location and status.

Tech Stack

Google OR-Tools

Python

Google Maps Platform

Flutter

Firebase

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