Deliver Relevance, Drive Action
From dynamic pricing to smart product suggestions—Levi9 brings AI-powered predictions to life.
Why It Matters
Relevance wins. Predictive recommendations help you:
Increase Revenue
Surface the right offers at the right time.
Improve Retention
Keep users engaged with personalized experiences.
Reduce Churn
Predict customer behavior and intervene early.
Optimize UX
Empower users with AI-guided decisions.
Levi9 has built use cases ranging from car price predictions to personalized fashion search—proving real-time relevance drives business.
The Levi9 Approach – Applied AI for Measurable Gains
We bring deep experience in building tailored recommendation engines across industries. Our models are trained on your context—data, domain, and outcomes.
Steps We Take Together
Whether you’re predicting car prices, upselling customers, or suggesting content, Levi9 helps you get there—fast, ethically, and securely
01
Goal & Data Definition
Clarify business KPIs—conversion, churn, basket size—and assess data quality.
02
Model Strategy & Prototyping
Choose the right approach: collaborative filtering, deep learning, hybrid, or rule-based.
03
System Integration
Build APIs or embed logic into apps, CRMs, e-commerce, or mobile platforms.
04
Monitoring & Tuning
Track performance (lift, engagement, bias) and iterate via continuous learning.
WHAT YOU GAIN: KEY OUTCOMES & DELIVERABLES
Working Recommendation System – Fit for your customer journeys and tech stack.
Personalization Dashboards – Track KPIs, performance trends, and model health.
Integration Toolkit – APIs, UI plugins, and data sync for production use.
Governance Model – Controls for explainability, fairness, and retraining.
Success Metrics – Demonstrated lift in revenue, engagement, or retention.
