Client Overview: Oro Orodjarna d.o.o.

Manufacturing
Industrial Equipment
Car components tooling
Oro Orodjarna d.o.o.

Oro Orodjarna d.o.o., founded in 1991, began operations in rented facilities near Postojna, Slovenia. Initially specializing in CNC machining, thermoplastic processing, and plastic product assembly, the company evolved into a recognized toolmaking provider. Today, it delivers injection molding tools to both Slovenian and European markets, known for high-precision, five-axis CNC processing and engineering excellence.

With a strong commitment to technological advancement and skilled workforce development, the company relocated in 2014 to its own modern production facility in the Neverke Industrial Zone, enabling sustainable growth and digital transformation.

Website: https://www.orotoolshop.com/

The Challenge

Digital Oversight and Production Optimization

Facing increasing production complexity and the need for real-time insights, Oro sought to overcome several key challenges:

  • Manual tracking of machine hours and operating conditions
  • Lack of real-time visibility into machine status and process temperature
  • Inefficiencies in production planning and scheduling

Our Approach & Technology Stack

We designed and implemented an end-to-end digital manufacturing system for Oro Orodjarna, enabling real-time monitoring, intelligent planning, and seamless data flow between machines, ERP, and operations.

01 IoT Sensor Infrastructure

  • 10 Ruu.vi Pro industrial-grade sensors (temperature, humidity, pressure)
  • 5 IoT Gateways (M5S) running custom IoTool software
  • Real-time monitoring of machine status (on/off) and process temperature
  • Local display for on-site workers
  • Wireless BLE/WiFi communication with 1-year battery life
  • IP67-rated for industrial reliability

02 MES System with ERP Integration 

  • Two-way integration with ERP to import work orders
  • Web-based dashboard with real-time visualization:
    • Machine status on interactive floor map
    • Job tracking: work order, machine hours, temperature logs
    • Exportable tables and analytics
  • Threshold-based alerts and performance monitoring
  • Scalable architecture ready for connecting additional machines

03 AI-Powered Smart Planning

  • Machine learning models predict production schedules based on historical data
  • AI uses 3D CAD models to estimate tooling operation times
  • Intelligent job allocation across machines based on current and forecasted availability
  • Integration with real-time sensor data for performance comparison

Key Features Delivered

  • Real-time production visibility
  • Data-driven planning with machine learning
  • Reduced downtime and increased operational efficiency
  • Scalable and modular system design
  • Enhanced scheduling accuracy and reduced inventory waste

Technologies & Infrastructure

Backend & Frontend

  • Backend: Node.js, REST APIs
  • Frontend: Vue.js
  • Integrations: Integration with existing ERP system.

Machine Learning Stack

  • Python with TensorFlow and scikit-learn for prediction models and schedule optimization

Hardware Components

  • Custom Sensors: Temperature monitoring, machine on/off detection
  • Sensor Hub: IoT Gateways for local data collection and transmission (BLE/WiFi)
  • Edge Software: IoTool software for data timestamping, visualization, and secure transmission

Outcome

Following implementation, Oro Orodjarna achieved measurable improvements in operational efficiency and process transparency. Key outcomes include:

  • 50% faster detection of machine downtimes, reducing response time and minimizing production interruptions
  • Automated tracking of work order execution, eliminating manual entry errors
  • Up to 20% improvement in scheduling accuracy thanks to AI-based time predictions
  • Reduction in material waste and excess inventory through optimized job distribution
  • Foundation laid for predictive maintenance and further AI-driven innovations in smart manufacturing

Oro Orodjarna now stands as a strong example of how traditional manufacturing can successfully embrace Industry 4.0 technologies for competitive advantage.

Our expertise helps companies optimize processes, boost efficiency, and unlock the value of their data to drive long-term growth.

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