Automated batch release
Document batch releases faster and without errors.
Automated batch release gathers lab, production and inspection data to create release documentation, so experts only review exceptions.
- Faster processes
- Easier compliance
- Less manual work
release time
documentation effort
payback
completeness
Calculated from saved administrative effort and faster time-to-market.
- 01
Data integration
Consolidate data from ERP, MES and further sources for Automated batch release.
- 02
Data quality
Clean, harmonise and validate data for plausibility.
- 03
Model development
Train and validate the Automated batch release model on historical data.
- 04
Pilot
Pilot Automated batch release 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.
ERP data
Master and transaction data from ERP.
Lab data
Analyses, measured values and test protocols.
Batch data
Batch numbers, protocols and releases.
Quality data
Inspection results, lab values and complaints.
Documents
Specifications, quotes, contracts and reports.
Recipe data
Ingredients, quantities, allergens and work instructions.
Quality management
Secures compliance with standards and regulations.
Production manager
Uses insights directly in daily operations.
IT
Builds on a scalable and secure data infrastructure.
Controlling
Quantifies effects and supports budgeting.
Faster processes
Easier compliance
Less manual work
Higher quality
Time savings
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
Document management
Reports and protocols are managed centrally.
Traceability
Data lineage remains fully intact.
GenAI assistance
Language models unlock documents and knowledge.
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.