Retail is a data-rich business losing money on data-poor decisions. Churn that no one saw coming. Markdowns that nobody optimized. Assortments that nobody rationalized. We build the models that turn
those decisions from gut to math — and protect €M of revenue along the way.
From churn prediction and CLV modeling to markdown optimization and assortment intelligence, we help retailers make faster, smarter and more profitable commercial decisions.
Our AI-powered analytics platforms are built for modern retail operators managing complexity across channels, regions, customer segments and product categories.
Behavioral models that surface at-risk customers 90 days before they actually leave. Intervention matrix by customer value. €21.5M saved in a single engagement.
Probabilistic CLV by cohort, channel, category. Acquisition payback. Loyalty ROI. Retention multipliers.
Market basket analysis. Next-best-product recommendations. Cross-sell propensity. Bundling intelligence.
Markdown timing and depth optimization. Sell-through probability forecasting. Regional markdown differentiation.
Store × SKU productivity analysis. Local assortment optimization. Space productivity. Range simplification.
Store-level forecasting. Allocation optimization. Stock-out prevention. Peak readiness.
FEATURED CASE STUDY
European retailer. 280,000 customers. 34,000 at-risk identified 90 days early. Churn rate 28% → 19%. 11.9× Year-1 ROI.
Deployed in 6 weeks