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HiT OS v2.6
PM
Peyman M.Commander
ML Models
Predictive models and scoring engines
Lead Scoring
Predicts lead quality from 0-100 using engagement + demographic signals
ACCURACY
92%
PREDICTIONS
2,341
TRAINED
2026-02-10
XGBoost v3.1
Churn Predictor
Identifies at-risk customers 30 days before churn
ACCURACY
87%
PREDICTIONS
894
TRAINED
2026-02-05
Random Forest v2.4
Revenue Forecast
Monthly revenue prediction with 95% confidence interval
ACCURACY
94%
PREDICTIONS
156
TRAINED
2026-02-12
Prophet + LSTM
Sentiment Analysis
Real-time sentiment from support tickets and social media
ACCURACY
89%
PREDICTIONS
12,450
TRAINED
2026-02-14
BERT Fine-tuned
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