TÜBİTAK-Supported ROTALOG Shipment Management System R&D Project Successfully Completed
Supported under the TÜBİTAK 1501 Industrial R&D Projects Support Program and aiming to lead the digital transformation of the logistics sector, the "Route Optimization, Real-Time Tracking and Monitoring Application for Micro/Macro Distribution Operations (ROTALOG Shipment Management System)”)" project has been successfully completed.
Brought to life after 24 months of comprehensive R&D and engineering work, ROTALOG has been introduced to the sector as a next-generation decision-support system that optimizes logistics operations end to end with its route optimization, fleet management, artificial intelligence integration and sustainability-focused features.
ROTALOG Shipment Management System: Key Outputs and Innovative Features
Designed with advanced algorithms and a modern software architecture, ROTALOG delivered the following strategic outputs that maximize efficiency while reducing businesses' operational costs:
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Advanced Route Optimization: Fuel and time costs were minimized by achieving net savings of 20% to 30% in distribution distances and durations.
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AI-Powered Delivery Prediction: Thanks to an infrastructure supported by machine learning models, delivery times can be predicted in advance with high accuracy.
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Smart Reverse Loading Planning: Thanks to the shipment planning algorithm, vehicle fill rates were raised above 90%, preventing idle capacity.
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End-to-End Integration Capability: The system was configured to work fully integrated with web-based panels, mobile field applications, enterprise ERP software and U-ETDS (Turkey's Electronic Transport Tracking and Inspection System).
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Green Deal-Compliant Sustainability: With a deposit-based delivery tracking module fully compliant with European Green Deal standards, an environmentally friendly and traceable logistics process management was established.
Project Team and Strong Academic Collaboration
Behind this successfully completed R&D process is the signature of a strong team of experts and academic collaboration. We thank the entire project team, especially our Project Lead Dr. Oktay YILMAZ, who successfully managed the project.
We also extend our gratitude to our advisor from Balıkesir University, Prof. Dr. İbrahim Küçükkoç, for his valuable contributions to the project's academic foundation and optimization models, and to TÜBİTAK TEYDEB for supporting the project's R&D vision.
We will continue to shape the future of the logistics sector with innovation, artificial intelligence and sustainable technologies, and to develop solutions that add value to businesses.


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