Case Study

Logistics Route Optimization Platform

Logistics4 min

Cutting delivery times and fuel costs with AI-powered dynamic routing and live operations dashboards.

Project Overview

Static routing and manual dispatching led to inefficiencies and missed SLAs. We implemented reinforcement learning and OR-Tools to optimize routes against live traffic and constraints, integrating fleet systems and providing a real-time operations console.

Key Challenges

Inefficient Route Planning

High Fuel Costs

Manual Dispatching

Lack of Predictive Demand

Integration with Fleet Systems

Our Solution

  • Dynamic Route Optimization
  • Fleet Integration Layer
  • Predictive Demand Forecasting
  • Real-Time Operations Dashboard

Key Technologies

Reinforcement Learning (TensorFlow)Google OR-ToolsAWS IoT CorePower BIAWS Cloud

Impact

32%

Reduction in delivery times

18%

Decrease in fuel consumption

40%

Faster route adjustment capabilities

Client Testimonial

“We’re delivering faster, saving fuel, and responding to changes instantly. This platform has transformed our operations.”

— VP of Operations, Global Logistics Company