Predictive Analytics & Forecasting turns your historical and real-time data into forward-looking insight. Instead of asking “what happened?”, your teams can ask “what’s likely to happen next—and what should we do about it?”
At Codefremics, we build machine learning and statistical models that forecast demand, churn, risk, and operational outcomes. We integrate these models directly into your systems so predictions drive pricing, staffing, inventory, campaigns, and strategic planning in real time.

We combine classical time-series models, machine learning, and domain expertise to deliver predictions that are accurate, explainable, and actionable for your teams.
Time-series models that predict sales, traffic, transactions, and call volumes to guide capacity planning and inventory decisions.
Machine learning models that flag at-risk customers and recommend actions to retain them before they leave.
Predict default probability, fraud risk, and portfolio exposure using alternative data, behavioural signals, and traditional credit metrics.
Forecast staffing needs, field visits, asset utilization, and service workloads to improve SLAs and reduce downtime.
Interactive models that let teams test pricing, marketing, or policy changes and see projected impact before they go live.
Pipelines, dashboards, and model monitoring for drift, bias, and performance— ensuring predictions stay reliable over time.
We embed predictive models into day-to-day tools and dashboards so teams in finance, operations, marketing, product, and leadership can act on insight—not just reports.
Forecast store and online demand, optimize stock levels, and plan promotions based on projected uplift and margin.
Use predictive scores for loan approvals, collections prioritization, and portfolio risk monitoring across segments.
Predict churn, upsell potential, and feature usage to drive retention campaigns and roadmap decisions.
Forecast work orders, service calls, and asset failures to schedule teams and maintenance proactively.
Predict response rates, channel performance, and lifetime value to allocate budget where it will have the most impact.
Provide leadership with scenario forecasts, risk views, and “most likely” outlooks to support annual and quarterly planning.
