Enterprise AI Without Enterprise Overhead

Custom ML Models That Turn Your E-Commerce Data Into Revenue

Predict churn, optimize pricing, personalize at scale — pay per prediction, deploy in 8 weeks

☁️ Cloud or Local 💳 Pay-Per-Use ⚡ 8 Weeks 📊 10+ Years Exp
📅 See Your ROI →
The Challenge

Pain Points We Solve

  • 70% cart abandonment = massive lost revenue
  • Customer churn undetected until too late
  • Generic marketing wastes budget
  • Manual pricing leaves money on table

How It Works

  • 1. Discovery (1 wk)
  • 2. Build (5 wks)
  • 3. Deploy (1-2 wks)
  • 4. Optimize

Who It's For

E-commerce Ops Leads

Growth Managers

Data-driven Founders

Need: 10K+ trans/mo, €100K+ rev

Use Cases with Proven ROI
📉 Prevent Customer Churn

Know who will leave 30-90 days early → Win them back (20-35% retention lift)

🎯 Personalized Recommendations

Show products they want → 20-40% higher conversions, 15-30% larger baskets

🛒 Recover Abandoned Carts

Predict bounce → Intervene at right time (10-25% recovery)

📊 Predict Customer Lifetime Value

Know LTV upfront → 30-50% better marketing ROI

📈 Promotion ROI Analysis

Measure true impact → Stop wasting budget on promos that don't work

🔄 Smart Product Sorting

Rank by purchase probability → Higher conversions from personalized ordering

Transparent Pricing

Initial Dev

€10K-€30K
One-time

Per Prediction

€0.01-€1
Volume discounts

Maintenance

Included
First year

Support

Included
Standard

Sample ROI

€3M/mo store • Churn Prevention

Cost: €68K → Return: €420K

2 months

to break even

Deployment

☁️ Cloud: EU data centers, GDPR compliant

🏢 Local: Your infrastructure, full data sovereignty

Your 8-Week Implementation Journey

1
Week 1
Discovery
Audit your data, define success metrics, select use case
2
Weeks 2-6
Build
Custom model development, training on your data, validation
3
Weeks 7-8
Deploy
Integration, testing, go-live with monitoring
Ongoing
Optimize
Continuous improvement, model updates, scaling