Skip to main content

Production Management with DataCore

Monitor production faults using AI and analyse labour and raw material costs. Improve the efficiency of your production operation.

A Solution for Production Management

Our business intelligence system provides advanced tools for smart production management, including real-time monitoring, fault prediction and cost analysis — so you can run your production with maximum efficiency.

Production dashboard

Shop Floor Analysis

Get a complete picture of shop floor activity — production line utilisation, planned and unplanned downtime, production targets versus actual performance. Continuous analysis of shop floor data makes it possible to identify bottlenecks and improve productivity.

AI Model for Fault Prediction

Artificial intelligence models analyse sensor data, operating patterns and maintenance history to predict faults before they happen. AI-driven preventive maintenance reduces unplanned downtime and extends equipment life.

Workstation Costs

Analyse the cost of each workstation, process and production line — direct labour costs, equipment costs and overhead costs. Understanding costs at a granular level enables accurate pricing and helps identify unprofitable processes.

Raw Material Tracking

Track raw material consumption at every stage of production. Identify waste, consumption deviations and discrepancies between planned and actual quantities. Control over raw materials leads to direct savings in production costs.

Quality Control

Continuous tracking of quality metrics — scrap rates, defects, returns and customer complaints. Identifying negative trends at an early stage makes it possible to correct processes before the problem grows.

AI · Machine Learning

Output & Quality Forecasting with Machine Learning

  • Output forecast for every production line
  • Scrap and defect rates predicted in advance
  • Commit to realistic delivery dates
Actual ML forecast Today

AI Production Agent

Beyond the fault-prediction model, the AI agent lets production managers ask in plain language — "Which line has the lowest utilisation this month?" or "Where is the bottleneck in the process?". The agent proactively alerts on drops in utilisation (OEE), detects bottlenecks in real time and recommends optimal maintenance windows.

A Unified Data Foundation (DWH)

Sensor data, the MES and the ERP are unified in a single data warehouse. Combining shop-floor data with cost and inventory data provides a complete operational picture — from raw material to finished product.

Solution benefits

Production Monitoring

Real-time tracking of production lines and fault detection

Cost Analysis

Analysis of labour and raw material costs for each production process

Quality Control

Tracking quality metrics and identifying defect trends

AI Fault Prediction

Monitoring production faults using artificial intelligence models

Equipment Efficiency

OEE analysis and improvement of equipment efficiency

ML Output & Quality Forecasting

A machine learning model that predicts expected output, scrap rates and quality deviations in advance

AI Production Agent

Utilisation alerts, bottleneck detection and predictive-maintenance insights in plain language

Let's talk

Shall we begin?

Tell us about your business challenge — we'll get back to you with a tailored proposal, no obligation.

  • Free initial consultation
  • Reply within one business day
  • Personal guidance all the way