PROMETHEUS
Predictive Reasoning and Omnichannel Modelling Engine for Tactical Horizon Evaluation and User Simulation
AI-Powered Customer Digital Twins | Predictive Marketing Intelligence
Overview
PROMETHEUS is a Customer Futures Intelligence Platform that creates continuously evolving AI Digital Twins for every customer. The platform continuously ingests omnichannel customer interactions and transforms them into living Digital Customer Twins capable of predicting churn risk, purchase intent, customer lifetime value, engagement probability, and campaign outcomes before decisions are executed. PROMETHEUS further extends intelligence through an agent-based simulation engine using Monte Carlo simulation.
Key Features
AI Digital Customer Twins
Continuously evolving models capturing behavior, interests, sentiment, loyalty, engagement, and predicted future actions.
Omnichannel Intelligence
Unifies interactions across websites, CRM, email, support, mobile, and social into a single layer.
Real-Time Event Processing
Kafka-driven event architecture processing interactions continuously.
Predictive Intelligence Engine
Forecasts churn, purchase intent, engagement, sentiment evolution, and lifetime value.
Monte Carlo Campaign Simulation
Digital Twins converted into autonomous agents for probabilistic campaign simulation.
Semantic Customer Memory
Vectorized memories with semantic retrieval using high-dimensional embeddings in Qdrant.
Fatigue-Aware Personalization
Models communication fatigue and channel affinity for optimal engagement.
Executive Intelligence Dashboard
Real-time customer health, churn risk, campaign performance, and predictive metrics.
Technology Stack
Algorithms & Methods
Digital Twin Construction
Customer interactions aggregated into behavior profiles, interest graphs, sentiment trajectories.
Churn Prediction (Ensemble)
LightGBM + XGBoost ensemble identifying at-risk customers.
Purchase Intent Prediction
Transformer-based classification estimating conversion likelihood.
Customer Lifetime Value
Quantile regression with confidence intervals for revenue projection.
HDBSCAN/K-Means Segmentation
Evolving customer cohort identification.
Monte Carlo Simulation
Thousands of probabilistic simulation runs for campaign forecasting.
Semantic Memory (Qdrant)
Vector embeddings for similarity search and contextual memory retrieval.
System Architecture
Event Ingestion Layer
Customer events from CRM, web, email, support, mobile, social
Customer Intelligence Layer
Builds and maintains Digital Customer Twins
Prediction Layer
Churn, intent, LTV, recommendation, segmentation inference
Memory Layer
Vector embeddings and semantic customer memory retrieval
Simulation Layer
Agent creation, Monte Carlo execution, scenario forecasting
Analytics Layer
KPI aggregation, dashboards, reporting, executive intelligence
Results & Outcomes
- End-to-end AI Customer Digital Twin platform delivered
- Supports 100,000+ customers and 10M+ events per day
- Churn prediction, intent forecasting, and LTV estimation integrated
- Monte Carlo campaign simulation engine operational
- Transforms CRM from historical records into predictive intelligence
- Top 10 in TeXpedition hackathon by Epsilon