Development of an AI-based sales funnel monitoring system with recommendations
A sales funnel without monitoring is blind management. An AI system monitors anomalies in the funnel in real time and generates specific recommendations for which deals require immediate attention.
Funnel metrics to monitor
Conversion Rates by Stage: Deviation from historical standards. If the conversion rate at the "Demo → Proposal" stage dropped from 60% to 35% in a month, what changed?
Deal Velocity: Average time for each stage. Slowdowns in specific stages = problem.
Deal Aging: deals “stuck” in one status longer than normal (no activity >N days).
Revenue at Risk: trades with high value and low probability or problematic signals.
Pipeline Coverage: The ratio of the pipeline to the planned closure. Less than 3x indicates a risk of underperformance.
Anomalies and alerts
Machine learning-based anomaly detection (Isolation Forest) based on funnel metrics. Deviations from the norm → manager alerts + AI analysis of possible causes.
Specific alert: "5 deals stuck in the Proposal stage for >30 days. The historical average is 14 days. Recommendation: check the price offer; a block at the financial approval level is possible."
Dashboard
Real-time funnel with color-coded health indicators. Drill-down on problematic deals. Timeline view of deal progress.