Load & Route Optimizations
Project Overview
This project is a dynamic software solution developed to reduce operational costs and increase route efficiency for road transport companies. The system, working with real-time data, provides intelligent decision support tools for both load distribution and route planning.
Who Is It Designed For?
Medium and large-scale enterprises operating in logistics, transportation and distribution; those who want to use their fleet more effectively and improve the time-cost balance.
Project Purpose:
To prevent time loss and resource waste caused by manual planning by proposing the most suitable route and load plan for each vehicle. This way, fuel consumption, empty kilometer rates and delays are reduced.
From Planning to Implementation
Every successful project is shaped by a planned and predictable process.
Needs Analysis & Data Collection
In the first step of the project, existing transportation processes were examined in detail in close cooperation with the customer. Operational parameters such as vehicle capacities, route data, delivery times and load types were analyzed.
Modeling & Definition of Optimization Criteria
Based on the collected data, optimization rules and priorities for the system to work were determined. Goals such as reducing empty kilometers, shortening delivery time and reducing fuel consumption were matched with technical models.
Infrastructure Development
Route planning algorithms, traffic data integration and vehicle-load matching modules were developed. The project was designed with an API-based architecture, providing flexible integration opportunities.
Testing Process & Scenario Simulations
System outputs were tested with scenarios created from real data. The system's speed, accuracy and response times were measured. Possible errors and performance problems were resolved at this stage.
Go-Live and Training
The system was taken to live environment with a gradual transition plan. User-friendly documentation and training content were prepared for the operations team, managers and drivers.
Monitoring, Reporting and Improvement
During the active use of the system, performance metrics were tracked and improvement areas were identified. Thanks to reporting modules, delivery efficiency and cost gains could be monitored.
Key Features
Load Planning Module
The most suitable vehicle-load matching is made according to transport capacity.
Route Optimization
The shortest and most efficient route is calculated according to traffic, road conditions and delivery time.
Replanning Capability
In case of sudden changes (vehicle breakdown, delivery cancellation, etc.), the system generates new route and distribution suggestions.
Real-Time Tracking
Vehicle locations and performance based on planned routes can be continuously monitored.
Performance Results
The data obtained after the project was put into operation revealed that the optimization system made direct and measurable contributions to transportation operations.
18% reduction in empty kilometer rate
The rate of unnecessary road travel decreased significantly thanks to more efficient loading of vehicles and smart route planning.
30% reduction in delivery delays
Real-time traffic data and replanning algorithms minimized delays.
12% savings in daily average fuel consumption per vehicle
Fuel usage decreased thanks to shorter and optimized routes.
Planning time reduced by 40%
Previously manually executed route and load planning operations began to be completed automatically and faster through the system.
Increase in workforce efficiency
Workday planning became more efficient as drivers worked with more predictable routes.
Data-driven approach in operational decision processes
Thanks to the reporting module, fleet management is now supported by historical data-based analyses.