Predictive Intelligence Engine

MÓDULO 9 — LEVEL 1 STATISTICAL

Transforms operational history into actionable quantitative forecasts: CVR, Expected Profit, Expected ROI, and EPC.

ESTIMATION POLICY DISCLAIMER: All forecasts, metrics ($CVR$, Expected Profit, Expected ROI, $EPC$), and opportunity scores are purely quantitative estimates and statistical predictions. No figure is ever presented as guaranteed revenue.

Champion ModelACTIVE

Baseline Statistical V1

Bayesian shrinkage + moving averages

Shadow ChallengerSHADOW

ML Regression V2

Evaluating offline shadow traffic

Model Error (MAE / RMSE)

0.0048 / 0.0075

Within target accuracy limits

Model & Data Drift

NO DRIFT (2.1%)

Auto-monitoring active

Top Predictive Opportunities

Ranked by Expected Profit, Expected ROI, CVR Probability, and Confidence Score

Exploration Split: 10% / Exploitation: 90%

Computing quantitative predictions & evaluating feature store...

AI Cost & Token Usage Tracking

Real-time LLM cost analytics

Total Tokens Processed42,850

API Calls128

Est. AI Cost$0.14

AI ROI Metric

105.8x

Ratio of generated expected profit vs AI operational cost incurred.

LLMs handle strictly qualitative reasoning (`LLMInsightEngine`).