Predictive Failure Engine
The most profitable call is the one you make before the customer knows they need you. The Predictive Failure Engine turns your service history into a revenue pipeline.
The Signal
Failure doesn't happen overnight
Every equipment failure leaves a trail of small signals — a slightly higher amperage draw, an extra pound of refrigerant needed, one more service call than last year. Individually, they're noise. Together, they're a prediction.
The Predictive Failure Engine connects these dots across your entire customer base, continuously scoring every unit on a 0–100 failure probability scale. When a unit crosses your threshold, it triggers an automated outreach — a call from your AI agent, an email, a text — before the customer even knows there's a problem.
The result? You sell replacements instead of emergency repairs. You book proactive jobs in slow months. You become the company that prevents problems, not just fixes them.
Four Signals, One Score
Every data point feeds the prediction model.
Equipment Age & Lifecycle
Tracks every unit's install date, expected lifespan, and where it falls on the failure curve. Flags units entering high-risk windows automatically.
Service Pattern Analysis
Detects escalating repair frequency, increasing refrigerant charges, and declining efficiency — the signals that predict imminent failure.
Weather & Load Correlation
Combines local weather forecasts with equipment capacity data. Predicts which units will fail during the next heat wave or cold snap.
Manufacturer Recall & Defect Data
Cross-references your customer base against known manufacturer defects, recalls, and class-action settlements. Proactive outreach, not reactive panic.