Concrete projects where Modeller's predictive models replaced manual rules and lifted core business metrics.
We built a predictive LTV model that estimates the future value of each customer before additional marketing budget is spent. The model helps the client identify high-value segments, reduce overinvestment in low-return acquisition channels, and improve the economics of retention and remarketing campaigns.
Optimize CAC, focus marketing spend on high-value customers, and improve retention ROI.
Enterprise e-commerce, 3M+ customers
We developed a customer scoring model that predicts the probability of default, delayed payment, or another key risk event for each applicant. The solution helps move from static manual rules to data-driven risk ranking, enabling more accurate approval strategies, better portfolio control, and lower credit losses.
Replace manual rules with predictive scoring and improve risk-adjusted profitability.
MFI, 5M+ customer base
We built a lead prioritization model that predicts the likelihood of conversion into a deal, payment, or qualified opportunity. Sales teams can focus on the highest-potential leads first, reduce time spent on low-quality opportunities, and increase conversion without expanding headcount.
Lift sales conversion and improve team productivity without growing the sales team.
B2B SaaS company, 50k+ leads per month
We developed a forecasting model for demand, sales, and revenue across product categories, regions, and time periods. The model takes into account historical sales, seasonality, pricing, promotions, inventory levels, calendar effects, and regional patterns.
Improve procurement, inventory planning, marketing calendar decisions, and financial KPI forecasting.
Retail network, 200+ stores
We built a call success probability model that predicts which customers are most likely to answer and when they should be contacted. The solution helps reduce wasted calls, increase operator productivity, and improve the ROI of sales, reminders, collections, and customer communication campaigns.
Fewer empty calls, higher contact rate, and better contact-center economics.
Bank / fintech company, 10M+ customers
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