Facilities
Utility Consumption Monitoring
AI analyzes energy and water usage across stores to detect anomalies — so leaks and equipment issues are caught early.
What it does
- Analyzes energy and water usage trends across the portfolio
- Detects stores with abnormal consumption vs. historical or peers
- Identifies potential leaks or equipment malfunctions
- Flags billing anomalies and meter errors
- Benchmarks stores by size, format, and climate zone
- Generates alerts when usage exceeds thresholds
- Tracks consumption trends for sustainability reporting
- Exports anomaly reports for facilities and finance review
What it takes
- Utility Bills / Consumption Data
- Store Square Footage & Format Data
- Historical Usage Export
- Weather / Climate Data
- Meter Read Export
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
Consumption Anomaly Scan
Identify stores with abnormal energy or water usage.
Potential Leak Detection
Flag stores with usage patterns suggestive of leaks.
Portfolio Benchmark Report
Compare utility consumption across stores and formats.
Trend & Threshold Alerts
Get alerts when usage trends exceed set thresholds.
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.