Facilities
Refrigeration Failure Detection
AI monitors refrigeration systems and alerts teams to potential failures — so you avoid spoilage and safety issues.
What it does
- Monitors refrigeration system data and sensor readings
- Detects when systems operate outside safe temperature ranges
- Alerts facilities and store teams to potential failures
- Identifies patterns that precede refrigeration breakdowns
- Prioritizes response by store impact and risk level
- Tracks resolution and root cause for repeat issues
- Supports food safety and compliance documentation
- Exports alert and resolution reports for risk and operations
What it takes
- Refrigeration Sensor / IoT Data
- Temperature Logs
- Equipment Asset List
- Maintenance & Repair History
- Store Criticality Data
What it returns
- Excel Table
- PDF Report
- Alert Feed
- JSON Data
Written into the systems your team already runs, not into a second system of record.
How teams run it
Live Range Check
Verify refrigeration systems are operating within safe ranges.
Anomaly Alerts
Get alerts when readings suggest potential failure.
Portfolio Refrigeration Status
Dashboard of all refrigeration health by store.
Failure Root Cause
Analyze patterns and root causes of past failures.
Cited, or flagged
Every value is anchored to the clause it came from. Where one is missing, Surfaice says so rather than inventing it.
Read where it lives
Documents are processed for the request and not retained afterwards. Nothing is copied into a second system of record.
Never trained on
Your documents do not train models — yours or anyone else's.
More in Facilities
See it run on your own documents.
Fifteen minutes, your files, and the clause behind every answer.