From personalized product recommendations to dynamic pricing and demand forecasting — QuantPi builds AI systems that help retailers increase revenue, reduce waste, and deliver exceptional customer experiences across every channel.
Retail is drowning in data but starving for insight. Customer behavior signals, transaction histories, browsing patterns, social media sentiment, weather data, competitor pricing — the volume is overwhelming. The retailers who win are those who can synthesize these signals into real-time action.
QuantPi builds AI systems that connect your data dots: personalization engines that drive 32% revenue uplift, demand forecasting that reduces overstock by 25%, and pricing algorithms that maximize margin while maintaining price perception. All integrated with your existing commerce platform.
Schedule a DemoDeep learning recommendation models that combine collaborative filtering, content-based signals, and real-time browsing behavior. 4.5× higher click-through rates than rule-based systems.
AI-driven pricing that optimizes across demand elasticity, competitor prices, inventory levels, and margin targets. Reduce markdown waste by 25% while maintaining brand perception.
SKU-level demand forecasting incorporating seasonality, promotions, weather, events, and trend signals. Automated replenishment that maintains 99% availability with 28% less inventory.
ML-powered micro-segmentation and CLV prediction that enables personalized marketing, loyalty programs, and retention campaigns with 40% better targeting accuracy.
Computer vision models that let customers search by image, find visually similar products, and discover complementary items — increasing basket size by 18%.
Unified customer analytics across online, in-store, mobile, and marketplace channels. Attribution modeling, journey mapping, and next-best-action recommendations.
A mid-market fashion e-commerce company had generic product recommendations. We built a deep learning personalization engine that increased average order value by 23% and recommendation click-through rates by 340%.
Our custom models outperform generic platform recommendations by 3-5× in CTR and 2-3× in conversion because they are trained on your specific customer behavior patterns.
Yes. We support Shopify, Magento, Salesforce Commerce Cloud, SAP Commerce, and custom platforms via API integration.
Models show measurable improvement within 2-4 weeks of deployment as they learn from real customer interactions. Performance compounds over time with more data.
All personalization is GDPR-compliant with consent management, data minimization, and right-to-deletion support. We can run models on anonymized data without sacrificing quality.
Start with a technical conversation. No pitch decks, no pressure — just a discussion about what’s possible for your industry.