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Logistics

Real-Time Supply Chain Optimization

IoTReal-time AnalyticsRoute OptimizationNode.js

Client

Logistics Leader

Timeline

10 months

Team Size

12 developers & data engineers

Real-Time Supply Chain Optimization

The Challenge

A major logistics company was struggling with inefficient route planning, rising fuel costs, and poor visibility into their fleet operations. Manual route planning was time-consuming and often suboptimal, leading to delayed deliveries and unhappy customers.

Our Solution

We developed an IoT-based fleet management system with real-time GPS tracking, AI-powered route optimization, and predictive maintenance. The system integrates with traffic data, weather forecasts, and customer delivery windows to calculate optimal routes. Real-time dashboards provide complete visibility into fleet operations.

Technologies Used

Node.jsMongoDBIoT SensorsGoogle Maps APIAWSReact

Results & Impact

25% reduction in fuel costs

30% improvement in on-time deliveries

5,000+ vehicles tracked in real-time

Predictive maintenance reducing breakdowns by 40%

Customer satisfaction increased by 35%

ROI achieved in 6 months

"The real-time optimization system has revolutionized our operations. We're saving millions on fuel while delivering faster than ever before."

James Rodriguez

VP of Operations

Logistics Leader

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