Logistics, Procurement & Manufacturing
Predictive Maintenance
Analyzes equipment sensor data, predicts failures 2-7 days out, and schedules maintenance with zero downtime.
When to use it
Manufacturing with expensive equipment where downtime is costly.
How it works — example
- Input
- A production line with 25 machines, each streaming sensor data.
- Agent actions
- The agent analyzes vibration, temperature, and pressure to predict failures 3-5 days in advance.
- Result
- Recommendation: "The Line 3 motor will fail in 4 days; replace the bearings overnight Thursday."
Business impact
Month 1: -30% unplanned downtime. Month 3: -50% repair costs. Month 6: millions of UAH saved per year.
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