Shopfloor assistance
Support shopfloor staff with AI.
Shopfloor assistance provides staff with targeted instructions, troubleshooting and knowledge access via voice or text, making even complex processes easier to master.
- Higher quality
- Faster processes
- Less manual work
error rate
training effort
payback
productivity
Calculated from reduced scrap, shorter onboarding and higher line productivity.
- 01
Data integration
Consolidate data from ERP, MES and further sources for Shopfloor assistance.
- 02
Data quality
Clean, harmonise and validate data for plausibility.
- 03
Model development
Train and validate the Shopfloor assistance model on historical data.
- 04
Pilot
Pilot Shopfloor assistance in one area and collect feedback.
- 05
Rollout
Scale the solution and integrate it into operational processes.
Steps
Data sources
Stakeholders
From first data access to production – every step delivers a tangible interim result.
MES data
Production orders, feedback and machine data.
Documents
Specifications, quotes, contracts and reports.
Machine data
Condition, parameters and production counters.
Quality data
Inspection results, lab values and complaints.
HR data
Shift plans, qualifications and absences.
Product data
Bills of materials, variants and life cycles.
Production manager
Uses insights directly in daily operations.
HR
Plans personnel and qualifications better.
Quality management
Secures compliance with standards and regulations.
IT
Builds on a scalable and secure data infrastructure.
Higher quality
Faster processes
Less manual work
More safety
Higher efficiency
With a solid data foundation this use case gets faster, cheaper and far more stable.
Central data platform
Real-time data integration
Scalable analytics pipelines
Reusable data products
GenAI assistance
Language models unlock documents and knowledge.
Predictive quality
Same data reveals quality deviations.
OEE monitoring
Availability data complements process metrics.
Internal Enterprise GPT
A company-owned chat assistant that reliably answers questions on processes, policies and expertise.
Document Chat (RAG)
Search large document sets via chat instead of manually digging through contracts and reports.
Service & Repair Assistant
Technicians get precise repair guidance on-site, drawn from manuals and ticket history.