Logistics Industry

Smart Logistics Route Planning

Major Logistics and Delivery Company

Location
Mumbai, India
Duration
7 months
Team Size
12 specialists
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The Challenge

Rising fuel costs, traffic congestion, and tight delivery windows were putting pressure on margins. Manual route planning couldn't account for real-time variables like traffic, weather, and priority changes.

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Our Solution

We implemented an AI-powered route optimization platform that uses machine learning to predict optimal delivery routes in real-time. The system considers traffic patterns, weather forecasts, vehicle capacity, delivery priorities, and historical data to minimize costs while meeting delivery commitments.

Implementation Steps

1

Integrated with GPS tracking and traffic data APIs

2

Deployed machine learning models for route prediction

3

Created mobile apps for drivers with turn-by-turn navigation

4

Built centralized dispatch dashboard with real-time visibility

5

Implemented automatic rerouting based on traffic conditions

6

Established data pipeline for continuous model improvement

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Measurable Impact

35% Improvement
Fuel Efficiency
Reduced fuel consumption per delivery
45% Reduction
Delivery Time
Faster deliveries with optimized routes
28% Decrease
Operational Costs
Lower overall logistics expenses
94%
On-Time Delivery
Improved delivery reliability

Technologies Used

Machine LearningGeospatial AnalyticsReal-time OptimizationGoogle Maps APIPythonReact Native
"

This route optimization system has been a game-changer. We're delivering faster, using less fuel, and our customers are happier than ever.

Chief Operations Officer
Major Logistics and Delivery Company

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