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Ekol is a 5,000-person logistics network across Turkey and Ukraine running a tech stack built for operational automation: computer vision (OpenCV, TensorFlow, YOLO), industrial control (Beckhoff TwinCAT, EtherCAT, OPC UA), and enterprise data systems (SAP, Oracle, SQL Server). Active projects span camera-based material tracking, warehouse process automation, and real-time operational dashboards. The hiring mix—engineering-heavy with logistics roles—and stated pain around data integration and automation visibility suggest a company shifting from manual warehouse operations toward instrumented, data-driven logistics.
Tech Stack 22 technologies
Core StackTensorFlow SAP C++ .NET C# Oracle Python PL/SQL SQL Server OpenCV YOLO Detectron2 WMS NET Core Entity Framework Beckhoff TwinCAT IEC 61131-3 Structured Text EtherCAT Modbus PROFINET OPC UA
What Ekol Logistics Is Building
◆Challenges
- Making operations visible and measurable
- Integrating data from camera and iot
- Uninterrupted communication with automation systems
- Automation of warehouse processes
- Prioritizing it developments
- Meeting volume and revenue targets
- Identifying tender opportunities
- Increasing share of wallets
▲Active Projects
- Camera image insight generation
- Scalable computer vision system development
- Cv solution integration into operations
- Material flow control system
- Beckhoff-based machine control software development
- Custom hmi and data monitoring system coding
- Production data integration into database via pl/sql
- Sop roll-out
- Monthly operational dashboard
Hiring Activity
5 roles · 2 in 30d
Department
Seniority
Notable leadership hires: Logistics Strategy Lead
Company intelligence
