Decision Logic
Modules

Model Nex provides 15+ production-grade business adapters that translate raw data into verified deep dives.

The Decision Framework

Explore our core pillars of operational intelligence. Each module is built on high-fidelity survival, propensity, or causal engines.

CLV-Based Acquisition

LTV Prediction Engine

High Customer Acquisition Costs (CAC) make it difficult to scale profitably when targeting the wrong audience.

Predict the Customer Lifetime Value (CLV) of new leads within days of acquisition, allowing for real-time bid adjustment in ad platforms.

40% improvement in Return on Ad Spend (ROAS) by shifting budget to high-LTV segments.

Predictive Personalization

Propensity Modeler

Generic shopping experiences lead to low conversion rates and poor customer engagement.

Model Nex analyzes browsing history, purchase patterns, and demographic data to predict exactly what each customer wants to see next.

25% increase in conversion rate and 15% boost in Average Order Value (AOV).

Intelligent Cart Recovery

Recovery Agent

Cart abandonment is a multi-billion dollar problem, and generic follow-up emails are often ignored.

Identify the exact reason for abandonment (shipping costs, technical friction, or price comparison) and trigger personalized recovery paths.

12% recovery rate of abandoned carts through targeted, AI-driven interventions.

Churn Prediction & Retention

Retention Optimizer

Losing existing customers is 5-25x more expensive than acquiring new ones, yet many brands only react after a customer has left.

Predict which customers are at risk of churning in the next 30 days based on declining engagement, support tickets, and purchase frequency.

15% reduction in customer churn through automated, high-relevance retention campaigns.

Dynamic Price Optimization

Elasticity Engine

Static pricing fails to capture maximum margin during peak demand or stay competitive during market shifts.

Automatically adjust prices in real-time based on competitor inventory, demand elasticity, and customer segments.

8% increase in overall gross margin and 20% increase in sales volume during promotional periods.

Dynamic Demand Forecasting

Inventory Planner

Stockouts lead to lost revenue, while overstocking ties up capital and leads to markdowns.

Predict demand at the SKU level by incorporating seasonality, marketing spend, and external factors like weather and holidays.

30% reduction in stockouts and 20% improvement in inventory turnover ratio.

Ready to see these results for your business?

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Decision Logic Modules