The team faced defect escape, limited inspection capacity, and tension between throughput and quality. Manual checks were variable and difficult to scale across shifts. In ERP/MES-driven environments, operators and planners struggled to act on alerts because insights were scattered across modules and required manual interpretation.
Key challenges included:
- Work orders executed without real-time quality context
- MES alerts requiring manual investigation
- Limited decision support during execution
- Delayed corrective actions impacting throughput
- ERP/MES systems acting as passive record systems
Datawise embedded an AI assistant directly inside ERP and MES platforms, augmenting work order management with real-time intelligence. The assistant interprets production events, quality signals, and machine status, then guides operators and planners inside their existing ERP/MES workflows—without switching tools.
The solution enabled:
- AI-assisted work order execution
- Real-time quality and maintenance insights inside MES
- Automated recommendations during production
- Context-aware alerts linked to ERP objects
- Seamless integration with existing ERP/MES systems
- 1ERP/MES events and work orders stream into the AI layer
- 2AI interprets quality, maintenance, and execution context
- 3Recommendations are generated per work order
- 4Operators act directly within ERP/MES screens
- Faster work order resolution
- Reduced execution errors
- Improved coordination between production and maintenance
- More consistent quality outcomes
- Higher ERP/MES ROI
- Reduced operational friction
- Better execution discipline
- Intelligent, assistive enterprise systems
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