IoT in Food Production
Filling lines are complex, downtime affected, poorly digitized and not up to date
- Performance slumps & quality losses are challenges of today’s food industry
- Follow-up costs due to rejects, delivery bottlenecks, recalls & image loss occur
- Sufficient operational transparency & appropriate maintenance support is lacking
Enabling future-proofness potentials with our key values
Machine Connection
IoT enabled machine connection and data management in one platform
Predictive Production Analytics
Automated analysis, modeling and interpretation of complex machine and system data
Platform Integration
Managing servization and merging with existing systems (ERP, MES, PPS, CMS)
• Reduce unplanned downtimes & total operating costs (TCO)
• Maximize output rates & overall equipment efficiency (OEE)
• Streamline support efforts, reduce waste & improve sustainability
AIDnow and sMachine – Boosting I4.0 into a new era for food production
Assets and Processes at a Glance
- Keep track of your machines at all times
- Be up to date with the message center
- Adapt and expand personal dashboards
- Maintain machine life records
Transparent Insights and Reliable Forecasts
- Monitor machine & health conditions
- Get early anomaly detections & notifications
- Get precise fault diagnoses & risk predictions
- Obtain support for cost-optimal decisions
Task and Process Management
• Get automated recommendations
• Maintain machine-related services & tickets
• Track progresses in your service center
• Access machine-related information any time
Evidence the benefits and improve your ROI within a month
End inefficiency and reactivity – become connected and predictive!
Discover what predictive decision and smart machine empowerment can do for you