28–35%
Share of Total Costs
High Fuel Costs
Fuel costs account for 28–35% of total operational expenses. ML-based route optimization and driver behavior analysis reduce this rate by an average of 22%.
Turkey's logistics sector is under profitability pressure due to rising fuel costs, driver shortages, route inefficiencies, and delivery delays. With Corius's ML-based fleet management, dynamic route optimization, and predictive maintenance systems, reduce fuel costs by 22%, shorten delivery times by 28%, and increase fleet utilization by 34%.
The real-time fleet monitoring, multi-supplier coordination, and regulatory compliance requirements of the logistics sector are areas where standard software falls short. Corius is the only software company that understands these requirements, integrates with existing TMS and ERP infrastructure, and sets measurable ROI targets before starting every project.
Let's Talk About Your Logistics Fleet ProcessesA technical infrastructure that consolidates GPS, CAN-bus, fuel sensor, HMS, and ERP data into a single analytics pipeline. We process all dimensions of logistics data, from fleet performance to driver behavior.
REST API and MQTT integration with SAP, Oracle, and custom TMS systems. No need to replace your existing fleet management infrastructure; our models are embedded within your system.
In the Strans project, fuel consumption decreased by 22%, fleet utilization rose by 34%, and delivery time was shortened by 28%. Full ROI was achieved by month 4.
High fuel costs, driver shortages, route inefficiencies, unplanned vehicle maintenance, and regulatory burdens are the common pain points of Turkey's logistics sector. Research shows that 82% of transportation companies experience at least three of these problems simultaneously.
Fuel costs account for 28–35% of total operational expenses. ML-based route optimization and driver behavior analysis reduce this rate by an average of 22%.
Finding and retaining qualified drivers is becoming increasingly difficult; annual turnover reaches 45%. AI assistant systems make new personnel productive quickly by providing experienced driver support.
Vehicle failures halt deliveries and emergency maintenance costs are 3–5 times higher than planned maintenance. Predictive maintenance systems reduce this rate by 65%.
Static routes, traffic congestion, and inability to find return loads lead to inefficient use of fleet resources. Dynamic route optimization reduces the empty km rate by 40%.
Planning errors, traffic, and unexpected situations cause delivery delays, lowering customer satisfaction. Real-time systems reduce this rate by 60%.
GPS, fuel card, maintenance, and TMS systems don't communicate with each other. Real-time decision-making becomes impossible, and data remains siloed.
Every solution is integrated into your existing TMS and ERP infrastructure to deliver measurable fleet improvements.
An ML algorithm combining traffic, weather conditions, delivery windows, and vehicle capacity dynamically calculates the optimum route for each delivery. In the Strans project, the empty km rate dropped from 25% to 15%.
An AI system analyzing CAN-bus data detects sudden acceleration, unnecessary idling, and speed violations, providing real-time feedback to the driver. Average fuel consumption savings of 15–22% are achieved.
An AI agent monitoring engine, brake, tire, and transmission sensor data in real time notifies 72 hours before a failure. Reduces unplanned downtime by 65% and lowers maintenance costs by 30%.
A forecasting model combining seasonal cycles, historical delivery data, and economic indicators predicts future period demand. Increases fleet utilization by 34% and minimizes idle capacity loss.
An AI system using computer vision and sensor fusion technology detects driver fatigue, distraction, and dangerous driving behavior. Reduces accident risk by 45% and provides 15% savings on insurance premiums.
Do you have a different fleet challenge?
We also develop solutions for problems not on the list that are specific to the logistics sector. Share your fleet data and goals, let's evaluate together.
TELL US YOUR NEEDIn a free preliminary analysis meeting, we listen to your fleet processes and jointly identify the starting point with the highest ROI potential.
Kızılırmak Mah. Dumlupınar Bulvarı Next Level No:3 A Kat:4 D.No:10 PK:06520 Çankaya / Ankara - Türkiye
