Development of AI Queue Predictive Wait Time System
Predictive wait time reduces abandonment rate by 20–35%: customers who know exact wait time (vs "your call is important") are less likely to hang up.
ML Wait Time Predictor
Uses Gradient Boosting to predict wait time from:
- Queue length
- Available agents
- Average handle time (last 30 min)
- Hour of day / day of week
- Incoming call rate (last 10 min)
- Agents on break
- Average skill match score
Dynamic IVR Message
Updates queue message every 30 seconds:
- If wait <1 min: "Wait less than one minute"
- If wait >5 min and uncertainty ≤1 min: "Wait {wait} minutes"
- If high uncertainty: "Wait {low} to {high} minutes"
- If wait >5 min: offer callback option
Callback Scheduling
If customer accepts callback: schedule call when agent becomes available, hangup, save in queue.
Timeline: basic predictive time — 2–3 weeks. With callback system + ML — 4–6 weeks.