AI Core
No-Show Prediction
Stop guessing who will show up. Our AI assigns a "Risk Score" (0-100) to every appointment, letting you take preventative action.
Historical Behavior
We analyze the client's past attendance record, late arrivals, and cancellation frequency.
No-Show Rate
Late Frequency
Cancellation Lead Time
External Factors
Our model considers environmental variables. Heavy rain or snow correlates with higher cancellation rates.
Weather Forecast
Traffic Patterns
Public Holidays
Booking Metadata
How the appointment was made matters. Bookings made >3 weeks in advance have higher risk.
Lead Time
Booking Source
Service Type
High Risk Alert?
When a score exceeds 80, we can automatically request a deposit or send an extra SMS reminder.
85
High Risk
Action Required