Custom ML Models That Turn Your
E-Commerce Data Into Revenue
Predict churn, optimize pricing, personalize at scale — pay only per prediction, deploy in 8 weeks
The Challenge
E-Commerce Pain Points We Solve
- 70% cart abandonment = massive lost revenue
- Customer churn goes undetected until too late
- Generic marketing wastes budget on wrong customers
- Manual pricing leaves money on table
- Stock issues hurt sales & margins
How It Works
- 1. Discovery: Analyze your data & goals (1 week)
- 2. Build: Train custom models for your business (5 weeks)
- 3. Deploy: API integration & testing (1-2 weeks)
- 4. Optimize: Monitor, refine, scale results
What you need: 6+ months transaction history, API access
Who It's For
Ideal for:
✓ Ecommerce Operations Leads
✓ Growth & Retention Managers
✓ Data-driven Founders
Requirements:
10K+ monthly transactions, €100K+ revenue, 6+ months data
Some of the use cases
Know who will leave 30-90 days early → Win them back before it's too late (20-35% retention lift)
Show products they actually want → 20-40% higher conversions, 15-30% larger baskets
Predict who's about to bounce → Intervene with right message at right time (10-25% recovery rate)
Know lifetime value upfront → Spend smart on acquisition, 30-50% better marketing ROI
Measure true impact of discounts & campaigns → Stop wasting budget on promotions that don't work
Rank products by purchase probability for each visitor → Higher conversions from personalized ordering
Transparent Pricing
📋 Initial Dev
🔄 API Requests
🔧 Maintenance
💬 Support
Sample ROI
€3M/mo store (Churn Prevention)
Year 1 cost: €68K
Year 1 return: €420K
to break even
Deployment Options
☁️ Cloud: EU data centers, GDPR
🏢 Local: Your infrastructure
Why VantageML
10+ Years Combined Experience in fintech, data engineering, and machine learning
✓ Expertise
Python, TensorFlow, PyTorch
Cloud & edge deployment
Real-time predictions
✓ Background
Fintech data teams
High-transaction systems
GDPR-compliant solutions