Case Study: Fuel Savings and Route Optimization for Shanti Cargo Service Logistics

 🏢 Client:  Shanti Cargo Service Logistics, a regional trucking company in Haryana, India

📈 The Challenge

Shanti Cargo Service Logistics was struggling with rising operational costs due to:

  • High fuel consumption
  • Inefficient, manually planned routes
  • Limited visibility into driver performance, idling times, and vehicle maintenance

With diesel prices spiking, profit margins had dropped by 10-15%, putting pressure on the business to optimize operations quickly.

The Solution: Data-Driven Optimization

Our nonprofit deployed a volunteer team of data scientists and engineers to tackle the problem through data science and AI.

  1. Analyze GPS and Telematics Data
  • Collected 6 months of historical trip logs (GPS, delivery time, idle time, fuel usage)
  • Mapped vehicle behavior across routes and delivery zones
  1. Driver Performance Dashboard
  • Built a Tableau dashboard to track:
    • On-time delivery rates
    • Idle time
    • Average speed
    • Fuel efficiency per driver
  • Insights were used to coach and incentivize high-performing drivers
  1. ML-Based Route Optimization Model
  • Trained a predictive model (XGBoost) to estimate fuel usage and delay probabilities
  • Applied K-Means clustering to group deliveries geographically for optimal routing
  1. Real-Time Dynamic Routing
  • Integrated with OSRM (Open Source Routing Machine)
  • Enabled live re-routing based on traffic and weather conditions

💡 Impact & Results

  • Fuel Costs Reduced by 18% within 3 months
  • Delivery Times Improved by 27%
  • 774,000 INR in Annual Savings from lower fuel use and fewer late penalties
  • Drivers rewarded for top performance, boosting morale and retention

⚙️ Sustainable Handoff

To ensure long-term usability without additional infrastructure costs, we trained Shanti Cargo Service employees to run a lightweight Python script locally. The script refreshed the dashboard using new trip logs exported from their fleet software. This allowed them to keep the dashboard updated without needing to invest in hosting platforms or cloud tools — making the solution cost-effective and easy to maintain.

🖥️ Local, Offline-Friendly Dashboard


To keep costs down, the final Tableau dashboard was delivered in a standalone format, which staff could open and refresh locally. The data source was linked to a CSV file updated by a custom Python script, eliminating the need for cloud infrastructure or ongoing platform fees.

🤝 Powered by Sochdata – Empowering Local Businesses with Data Science for Growth

This project highlights how data-driven solutions can create real value for small businesses. At Sochdata, we help local companies uncover hidden insights in their data to boost efficiency, reduce costs, and support sustainable growth.

Want to collaborate? Contact us to explore how Sochdata can support your organization