Inbound Pipeline Forecasting
Regression-based estimate of within-quarter pipeline creation from sources not visible at quarter start.
Akash Sharma
Primary Owner
The Problem
Complementing the Demand Generation model, teams needed a simpler regression-based estimate for walk-in pipeline from sources that don't follow the standard demand generation pattern.
What Was Built
First model built using the ML Regression Framework (P22). Predicts walk-in pipeline created within the quarter from new sources, as a regression target using the standardized feature pipeline and validation framework.
Business Impact
Added granularity to within-quarter pipeline creation estimates, complementing the Demand Generation model.
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