How AI Cut Logistics Costs by 30% for a Karachi Retailer

This is an in-depth look at one of our most impactful projects: helping a Karachi-based logistics company reduce delivery costs by 30% through AI-powered route optimization.

The Challenge

Our client operated a fleet of 45 delivery vehicles covering the Lahore-Karachi corridor. Rising fuel costs and inconsistent delivery times were eating into margins. Manual route planning couldn't account for real-time traffic patterns.

Our Approach

We built a custom route optimization engine using Google OR-Tools combined with real-time traffic data. The system generates optimal delivery routes every morning, considering: - Real-time traffic conditions - Delivery time windows - Vehicle capacity constraints - Fuel cost optimization

The Results

After three months in production: - **30% reduction** in fuel costs - **25% improvement** in on-time deliveries - **18% increase** in daily deliveries per vehicle

The system paid for itself within the first 6 weeks of deployment.