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Logistics

Trailer Sharing

Project Overview

Our trailer sharing system brings together companies wanting to send cargo on the same route under a single system, enabling more efficient use of logistics resources. The software automatically matches cargo, plans trailers, and optimizes transportation operations for logistics companies.

Who is it Designed For?

The project is built on algorithms that evaluate parameters such as route similarity, cargo type, and timing compatibility to match cargo. A management panel that facilitates operational decisions and driver-friendly mobile interfaces ensure the system appeals to every user level.

From Planning to Implementation

Every successful project is shaped by a planned and predictable process.

Needs Analysis & Process Mapping

Companies' trailer usage, cargo density, and route habits were examined.

Data Integration & Modeling

Data from external systems was normalized to make it suitable for algorithms.

Development of Optimization Modules

Route, timing, and cargo type-based matching algorithms were developed.

Interface and Mobile Application Development

User-friendly screens were prepared specifically for management and field teams.

Testing & Go-Live

Comprehensive tests were conducted on application scenarios, then user training was completed and the system was put into live use.

Monitoring and Improvement

System performance is monitored with real-time data, and improvements are implemented based on feedback.

Key Features

Route-Compatible Cargo Matching

Cargo on the same route is automatically matched.

Trailer & Task Planning

Empty capacities are detected and trailer planning is done.

Live Tracking

Cargo status, delivery process, and trailer location are monitored in real-time.

Multi-Company Supported Structure

Cargo from different companies is securely separated in the system.

Mobile Compatibility

Task notifications and route sharing are done through driver applications.

Reporting & Analytics

Cargo sharing rates, empty kilometer data, and performance statistics are provided.

Benefits Provided

Concrete gains were achieved in data-driven decision making, resource planning, and operational efficiency. The data obtained after the system went live provided measurable benefits for both carrier companies and cargo owners.

Real-Time Tracking and Management

Trailer and cargo statuses could be monitored instantly through the system. This accelerated operational interventions by control centers and reduced error rates.

Reduction in Empty Capacity Usage

Thanks to matching cargo traveling on the same route, empty travel rates of vehicles were reduced by up to 20%. Fleet capacity was used more efficiently.

Fuel and Time Savings Achieved

Due to route planning optimization, fuel consumption per vehicle decreased; delivery times were shortened by an average of 15%.

Planning Processes Became More Flexible

The system analyzed variable route and cargo situations and created alternative scenarios. This enabled faster and more effective decisions for field operations.

Decision Support Systems Strengthened

Collected operational data was presented to managers through customized reports, providing direct support in decision processes.

Transportation Costs Decreased

Thanks to transporting multiple cargo with the same vehicle, significant decreases were observed in customers' unit transportation costs.