AI ENGINE 2 — RUNNING

Product Propensity Scorer

Scoring 23 mBANK products across all 10 customers — 230 propensity scores in progress

OVERALL PROGRESS10%
PROCESSING PIPELINE
✓
Initialising Engine 2 — Product Propensity Model
Bank-ProductScore v3.1 · XGBoost ensemble · 47 product features loaded
👤
Ingesting Engine 1 Customer 360 Profiles
10 profiles · 214 data points / customer · confidence layers active
03
Loading mBANK Product Catalogue
04
Running Product Eligibility Screening
05
Scoring Propensity — All 10 Customers × 23 Products
06
Applying Risk Adjustment Layer
07
Calculating Nudge Timing Windows
08
Generating Revenue Uplift Projections
09
Ranking Products by Priority Score
10
Engine 2 Complete — Enhanced Profiles Ready
LIVE SCORING LOG
01INIT → Bank-ProductScore v3.1 loaded · RAM: 3.1 GB allocated
02LOAD → 10 Customer 360 profiles ingested · 2,140 data points total
03CATALOGUE → 23 products · 8 categories · GCC eligibility matrix active
04ELIGIBILITY → Ahmed [BNK-GCC-00847291] · DBR: 12.3% · All 23 products eligible
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10
Customers
23
Products
23
Scores
0
Errors