elunic boosts industrial productivity with autonomous AI agents

elunic GmbH, a software provider for industrial and manufacturing companies, extended its shopfloor.io digital machine portal with shopfloorGPT, an AI-powered agent solution built on Azure OpenAI Service and Azure Kubernetes Service. The solution enables manufacturers and SMEs to utilize vast volumes of machine-generated data, which were previously underutilized, for improved productivity and operational optimization. shopfloorGPT functions as a customizable full-time digital employee handling quality inspections, service requests, and production monitoring. The implementation integrates seamlessly with existing environments like SAP and Microsoft apps, and can be tailored to specific customer needs. The system creates a self-updating knowledge database that supports workforce knowledge retention and automation. Customers reported significant time savings in service operations and an increased ability to make data-driven decisions on the shopfloor. elunic leveraged Microsoft's expertise throughout the project, combining years of digital transformation experience with cutting-edge AI technologies.

The article details measurable impacts, quoting approximately 15 minutes saved per request in service processes, higher data utilization rates, and greater resilience in operations. The described solution facilitates proactive and autonomous machine operations, supporting the vision of Industry 4.0.

1. 01Industrial SMEs and machinery manufacturers struggle to leverage large quantities of machine data.
2. 02Manual data evaluation is time-consuming, leading to slow and inefficient processes.
3. 03Limited expertise and capacity hamper utilization of big data for operational improvement.
4. 04Operational optimization and quality management are restricted by inefficient data practices.

1. 01Expanded shopfloor.io platform with shopfloorGPT, powered by Azure OpenAI Service and Azure Kubernetes Service.
2. 02Deployed customizable AI agents acting as digital employees for service, maintenance, sales, and project support.
3. 03Integrated agents with diverse company data pools (machine data, SharePoint, manuals, etc.).
4. 04Enabled proactive machine monitoring and automated, flexible responses to operational issues.

1. 01Reduced service processing time by ~15 minutes per request.
2. 02Boosted productivity and workforce efficiency.
3. 03Improved utilization of machine telemetry and business data.
4. 04Launched self-maintaining, central knowledge database for knowledge democratization.

• Added autonomous digital employee capabilities
• Improved data-driven shopfloor decisions
• Enabled broader use of machine data
• Created a self-updating knowledge base