Transform your e-commerce data into revenue. Custom ML models deployed in 8-12 weeks. Pay only for predictions you use.
We've spent years building fraud detection and risk models for fintech, where milliseconds and accuracy matter. E-commerce is where the data is already there—it's just about putting it to use.
Most e-commerce businesses generate valuable data but lack resources to transform it into actionable intelligence.
We build custom ML models tailored to your e-commerce operations and deploy them as secure, easy-to-use APIs.
We work with your historical data (6 months minimum) to understand patterns and validate quality.
Our data scientists build a custom ML model trained on your specific operations and business logic.
We provide a secure API endpoint your systems can query in real-time with millisecond response times.
Your IT team integrates predictions into existing workflows with our comprehensive documentation.
Clear timeline, transparent process, measurable milestones
Business process analysis, use case identification, and data quality assessment
Data extraction, cleaning, validation, and feature engineering
Custom model training, algorithm optimization, and performance validation
API setup, security configuration, load testing, and documentation
Your team integrates API into systems with our support and testing
Go live with continuous monitoring, quarterly retraining, and performance optimization
Proven AI solutions delivering measurable ROI for e-commerce businesses
Real-time transaction scoring (millisecond response)
Our fraud detection models analyze 50+ signals per transaction, providing risk scores in under 100ms. Perfect for multi-channel retailers and high-ticket items.
Identify at-risk customers 30-90 days before they leave with targeted retention
Personalized suggestions based on individual behavior, not generic popularity
AI-powered price recommendations optimized for conversion and margin
Accurate SKU-level demand predictions for optimal inventory management
Predict abandonment likelihood and trigger real-time interventions
Predict future customer value to optimize acquisition and retention spending
Behavioral micro-segmentation for hyper-targeted campaigns
Your customer data is sensitive. We take privacy and security seriously.
Unlike traditional consulting or software licensing, our pricing aligns our success with yours.
Choose the deployment model that meets your data privacy and sovereignty requirements
| Factor | Cloud Deployment | Local Deployment |
|---|---|---|
| Data Location | EU data centers | Your infrastructure |
| Setup Time | 8-10 weeks | 10-14 weeks |
| Initial Cost | €8K-€25K | €28K-€85K |
| Monthly Cost | €500-€5K | €500-€1.5K + infrastructure |
| Scalability | Automatic | Manual |
| Data Control | High | Complete |
| Compliance | GDPR, SOC 2 | All requirements |
| Uptime SLA | 99.9% | Your infrastructure |
Combine cloud and local deployment for optimal balance. Common scenarios include:
Custom pricing based on specific requirements
Schedule a consultation to discuss your specific data sovereignty requirements. We'll help you choose the right deployment model and provide transparent cost estimates.
Schedule Data Sovereignty ConsultationMost clients choose cloud deployment. But when data sovereignty matters, we're ready to support local deployment.
We stand behind our models with performance guarantees, flexible pilots, and transparent contracts
Development: €5K-€12K (credited if you proceed)
No ongoing costs during pilot
Month-to-month if you continue
You get a refund. We part ways. No hard feelings.
Local Deployment Option: If data sovereignty is critical, we offer local deployment where data never leaves your infrastructure.
For mission-critical implementations:
If you decide to move in-house or to another provider:
Automated monitoring detects accuracy drops. You're alerted immediately if performance falls below threshold with emergency retraining available if needed.
Standard Timeline: 8-12 weeks from kickoff to production
We have strong incentives to deliver on time.
If your team needs help, we can recommend:
While you build technical capacity, we offer a basic web interface for manual predictions (€500/month). Upload CSV, get predictions back. Not optimal for ROI, but bridges the gap.
Traditional consulting says: "Pay us for our time, results are your problem."
Traditional SaaS says: "Pay us monthly, whether you use it or not."
We say: "We succeed when you succeed."
That's why we offer performance guarantees, pilot programs, month-to-month flexibility, model portability, and clear exit options.
We take on more risk than traditional providers because we're confident in our models and our process.
We understand that any significant business decision carries risk. That's why we offer:
Let's discuss your concerns honestly and transparently.
Real results from e-commerce businesses (anonymized for privacy)
We work best with growth-focused e-commerce businesses ready to leverage AI for competitive advantage
€5M-€100M annually
Sweet spot: €10M-€50M
Below €5M, ROI often doesn't justify custom ML. Above €100M, you likely need an in-house team.
10,000+ monthly transactions
Volume examples:
10K/month = Good fit
50K/month = Excellent fit
100K+/month = Perfect fit
ML models need volume to deliver ROI. More transactions = better predictions.
6-24 months operational data
Ideal: 12-24 months
ML learns from historical patterns. We need at least 6 months, but more is better for accuracy.
Data types: Customer behavior, transactions, products, operational metrics
In-house or outsourced dev team
You'll need:
• 1 backend developer (40-60 hours)
• 1 DevOps engineer (10-20 hours)
• Basic API integration experience
Our models deliver via API. You need resources to integrate predictions into your workflows.
Committed to data-driven optimization
Willingness to:
• Test and optimize based on outputs
• Make decisions based on data
• Invest time in understanding models
• Iterate and improve over time
AI is a tool, not magic. Success requires commitment to testing and learning.
Fewer than 5,000 monthly transactions
The economics don't work at this scale. Consider generic AI tools or manual optimization first. Revisit when you reach 10K+ monthly.
Less than 6 months of historical data
Without sufficient data, models can't learn patterns reliably. Wait until you have more data, or start with simpler rule-based systems.
No ability to integrate APIs
If you can't integrate our API, you can't use predictions effectively. Consider hiring an integration partner or building capacity first.
Want ready-made solution with no customization
We build custom models tailored to your business. For off-the-shelf software with instant deployment, consider generic AI/ML SaaS platforms.
Looking for complete system development
We provide intelligence (ML models), not interfaces. We integrate WITH your systems, we don't replace them or build entire applications.
Perfect VantageML Client Profile:
Use this checklist to assess your readiness:
Scoring Guide:
We could say yes to every inquiry, but that wouldn't serve you well.
Custom ML projects require sufficient data and volume to train accurate models, technical resources to integrate predictions, organizational commitment to data-driven optimization, and realistic ROI expectations.
When these aren't present, projects fail. We'd rather be honest upfront than disappoint you months into a project.
If we say "not yet," we mean it. We're happy to revisit when you're ready.
Schedule a free 30-minute assessment call. We'll honestly tell you if we're a good fit, and if not, we'll suggest alternatives or next steps.
Schedule Free Fit AssessmentNo sales pressure. Just honest feedback on whether VantageML is right for your business right now.
Get answers to common questions about VantageML, our process, and our models
Minimum 6 months of historical operational data, but 12-24 months is ideal. We need customer behavior, transaction history, product catalog, and operational metrics. We'll assess your specific data quality during the discovery phase.
Our sweet spot is €5M-€100M annual revenue with 10,000+ monthly transactions. ML models need sufficient data volume to train effectively, and implementation costs are similar regardless of scale.
Typically 8-12 weeks from kickoff to production deployment:
Our models are deployed as REST APIs, which work with any programming language. We provide code examples in Python, JavaScript, PHP, Ruby, Java, and C#. We've integrated with Shopify, Magento, WooCommerce, and custom platforms.
Typical response: <100 milliseconds for most models. Complex models (fraud detection, dynamic pricing) may take 100-300ms. We conduct load testing before production to ensure performance meets your requirements.
Absolutely. Our implementation includes sandbox environment, validation phase with historical data, limited production pilot, and A/B testing support. You'll have multiple opportunities to validate performance before full deployment.
VantageML is GDPR compliant from day one. We process data as a Data Processor, provide Standard Contractual Clauses (SCCs) for EU data transfers, and include a Data Processing Agreement (DPA) in all contracts. We support all data subject rights and offer local deployment for complete data sovereignty.
Never. Your data and your models are exclusively yours. We maintain complete isolation with separate model instances for each client. Your competitive advantage remains yours.
For cloud deployment, all your data is deleted within 30 days per GDPR requirements (immediate deletion available upon request). For local deployment, you control all data. You also receive complete model documentation and transition support.
The one-time development fee (€8K-€25K) includes business requirements analysis, data quality assessment, custom model development and training, API deployment, comprehensive documentation, integration support, and first year of maintenance and retraining. This fee is credited as prepaid API calls.
No. Our pricing is completely transparent: development fee (one-time, credited as API calls), per-prediction API fees (€0.01-€0.50 per call), and optional maintenance after year 1. We include cloud infrastructure costs, first year maintenance, standard support, and documentation.
Yes. Annual commitments receive 15-20% discounts on API usage fees. We offer pay-as-you-go (month-to-month), annual prepay (15% discount), and multi-model bundles (20% discount when implementing 2+ use cases).
We provide conservative ROI estimates based on industry benchmarks, your specific metrics, and proven results from comparable use cases. Actual ROI depends on integration quality, baseline performance, and market conditions. That's why we offer pilot programs and performance guarantees.
We set minimum accuracy thresholds in our contract. Pilot programs include full refund if model doesn't meet agreed performance in 90 days. If production model's performance degrades, we provide emergency retraining within 5 business days with performance guarantees in contract.
Technical deployment takes 8-12 weeks. Business impact varies: fraud detection and dynamic pricing show impact within days, recommendations and segmentation within weeks, and churn/CLV prediction within 1-3 months. Most clients see positive ROI indicators within 30-60 days of production launch.
Three key differences: (1) Pay-per-prediction pricing vs. hourly billing, (2) Specialists in high-transaction businesses vs. generalists, (3) Years in fintech where models MUST work vs. academic experience. We're not a typical consultancy—we're ML specialists with battle-tested experience.
Discovery phase: 4-7 hours over 1-2 weeks. Development: 1-2 hours/week for check-ins. Integration: 40-60 hours developer time, 10-20 hours DevOps. Post-launch: 1-2 hours/month for reviews. Total: 85-135 hours over 10-12 weeks (~8-12 hours/week average).
Yes, though e-commerce is our current primary focus. We also work with fintech, insurance, call centers, hospitality, gaming/entertainment, and logistics. Key requirement: high transaction volumes and operational data.
Can't find your answer here? We're happy to help with no sales pressure.
Schedule a free consultation to discuss your specific use case and get custom ROI projections
Democratizing enterprise-grade AI for mid-market businesses
VantageML Analytics is a specialized AI/ML consultancy focused on delivering custom predictive models for e-commerce and high-transaction businesses.
Our Mission: Democratize enterprise-grade AI for mid-market businesses by delivering custom models without enterprise overhead.
Our Approach: We succeed when you succeed. That's why we offer transparent pricing, performance guarantees, and a true partnership approach.
The competitive landscape is shifting. Early adopters gain 12-18 months of optimization advantage.
Your competitors are already exploring AI. While they're still in research mode, you can be optimizing. First movers gain compound advantages:
The window is now. In 18 months, AI will be table stakes, not a differentiator.
What required a €200K+ data science team 3 years ago now costs €2K-€6K monthly with specialists like us.
Technology has advanced:
The barrier to entry has never been lower. The ROI has never been clearer.
Personalization isn't a nice-to-have anymore. Customers expect it:
Intelligent experiences are becoming the baseline. Generic experiences are losing to AI-powered precision.
Customer Acquisition Cost (CAC) is up 60% since 2020. Marketing efficiency dropped across all channels:
AI-powered precision is the new competitive advantage:
You can't afford NOT to optimize.
Join forward-thinking e-commerce businesses leveraging AI for competitive advantage. Schedule a consultation to explore how predictive models can transform your operations.
Schedule Strategy CallFirst movers win. The window is closing.
Bringing fintech-grade AI to e-commerce businesses
VantageML Analytics is a specialized AI/ML consultancy focused on delivering custom predictive models for e-commerce and high-transaction businesses.
We're not another generalist AI consultancy. We're ML specialists with years of experience in fintech – where models must work, where milliseconds matter, and where accuracy is non-negotiable.
Now we're bringing that battle-tested expertise to e-commerce, an industry where the data is already there – it's just about putting it to use.
Democratize enterprise-grade AI for mid-market businesses by delivering custom models without enterprise overhead.
We succeed when you succeed. That's why we offer:
We're not here to sell you AI. We're here to deliver measurable business results through intelligent predictive models.
No hidden fees, no surprises, no lock-in tactics
We guarantee model performance and stand behind our work
Your success is our success – literally (performance-based pricing)
If we're not a good fit, we'll tell you. If there's a better solution, we'll recommend it.
We're specialists, not generalists. We do ML for high-transaction businesses, and we do it well.
Headquarters: Riga, Latvia
Primary Coverage:
International: Available for select projects worldwide
Languages: English, Latvian
Trusted by e-commerce businesses across the EU
Transform your e-commerce data into revenue with enterprise-grade AI.
Schedule Free Consultation