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.

Organization
elunic GmbH
Location
Germany

Reported outcomes

15 minutes

timeTime & speed

Strategic outcomes

New product / capabilityAdded autonomous digital employee capabilitiesBetter decisions & insightImproved data-driven shopfloor decisionsScale & capacityEnabled broader use of machine dataInnovation & cultureCreated a self-updating knowledge base

Primary read

Use case focus

Showing 3 of 4

  • 1Autonomous Machine Operations Agent
  • 2Intelligent Service Request Handling with AI Agents
  • 3Automated Quality Inspection via Industrial Data Agents
  • Industrial SMEs and machinery manufacturers struggle to leverage large quantities of machine data.
  • Manual data evaluation is time-consuming, leading to slow and inefficient processes.
  • Limited expertise and capacity hamper utilization of big data for operational improvement.
  • Operational optimization and quality management are restricted by inefficient data practices.
  • Expanded shopfloor.io platform with shopfloorGPT, powered by Azure OpenAI Service and Azure Kubernetes Service.
  • Deployed customizable AI agents acting as digital employees for service, maintenance, sales, and project support.
  • Integrated agents with diverse company data pools (machine data, SharePoint, manuals, etc.).
  • Enabled proactive machine monitoring and automated, flexible responses to operational issues.
  • Reduced service processing time by ~15 minutes per request.
  • Boosted productivity and workforce efficiency.
  • Improved utilization of machine telemetry and business data.
  • Launched self-maintaining, central knowledge database for knowledge democratization.
Architecture

shopfloorGPT consists of specialized AI agents containerized via Azure Kubernetes Service and powered by Azure OpenAI Service. These agents draw data from machine telemetry, databases, manuals, and internal SharePoint resources, integrate with platforms like SAP and Microsoft applications, and autonomously plan, execute, and refine their tasks while maintaining a self-updating knowledge base.

Sources & evidence1
Groundedness: Unavailable

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